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An Introduction to Radiography and Medical Imaging
 
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An introductory video into diagnostic radiography and medical imaging for the uninitiated. Want to learn more? SoR aka Society of Radiographers https://www.sor.org/ Health Careers https://www.healthcareers.nhs.uk/explore-roles/allied-health-professionals/radiographer-diagnostic Royal College of Radiologists, a Historical Timeline of X-Rays and Radiology https://www.rcr.ac.uk/college/about-college/history-college/historical-timeline#1 UCAS Current Universities Offering Radiography http://search.ucas.com/search/providers?Vac=1&AvailableIn=2017&Query=Diagnostic%20Radiography Some generally cool stuff: How fast does a CT scanner spin…? https://www.youtube.com/watch?v=2CWpZKuy-NE Quite Fast Wiki-Radiography http://www.wikiradiography.net/ Radiopedia https://radiopaedia.org/ Radiology Masterclass http://www.radiologymasterclass.co.uk/ This is my first venture into making educational videos on YouTube in relation to Radiography. I know there’s gonna be teething problems so bear with me. Feel free to leave a comment on what you’d like to see next. I am thinking maybe split up the videos more. I’ve also come to realise how much stuff there is to learn about during the degree. ------------------------------------------------------------------------------------------------------------------------------------- Disclaimer: I will try my best to answer any questions relating to radiography, however if it a medical question relating directly to your own health this video and associated content is not a replacement for seeing an actual doctor.
Views: 14798 Stevone
Ultrasound Principles & Instrumentation - Orientation & Imaging Planes
 
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Ultrasound orientation & imaging planes explained clearly by point-of-care ultrasound expert Joshua Jacquet, MD of https://www.medcram.com Ultrasound is EXPLODING in popularity among medical professionals & clinicians...and for good reason. Quite simply, ultrasound often makes diagnosing medical problems & performing procedures faster, safer & more cost effective. Physicians, nurse practitioners, physician assistants, nurses, technicians & other professionals can benefit from ultrasound in almost every medical setting & specialty Ultrasound that is performed by the clinician, at the bedside, is called many names: clinical ultrasound, bedside ultrasound, & point of care ultrasound (POCUS). MedCram.com Instructor & Ultrasound expert Dr. Jacquet illustrates a key skill in this video: How to orient the ultrasound probe with what is seen on screen and understand the associated imaging planes. Dr. Jacquet recently joined the MedCram team and we've launched the first of several "Ultrasound Principles & Instrumentation Explained Clearly" courses. Master the foundations of bedside ultrasound/point-of-care ultrasound (POCUS) with this course available here: https://www.medcram.com/courses/clinical-bedside-ultrasound Learn the many advantages and possibilities medical ultrasound offers. Dr. Jacquet's course Ultrasound Principles & Instrumentation includes: - A clear understanding of the physics of ultrasound waves & and how they react in tissue. - An overview of ultrasound transducers and what they're used for. - Key ultrasound terminology, orientation, imaging planes, and biosafety. - Step by step illustrations of the nobs, dials, and modes of an ultrasound machine ("knobology"). - Examples of various ultrasound artifacts that impact ultrasound images. - How to handle an ultrasound transducer and set up the machine for your first ultrasound exam. Visit https://www.MedCram.com for top rated medical courses and over 100 free lectures. MedCram: Medical education topics explained clearly including: Respiratory lectures such as Asthma and COPD. Renal lectures on Acute Renal Failure and Adrenal Gland. Internal medicine videos on Oxygen Hemoglobin Dissociation Curve and Medical Acid Base. A growing library on critical care topics such as Shock, Diabetic Ketoacidosis (DKA), and Mechanical Ventilation. Cardiology videos on Hypertension, ECG / EKG Interpretation, and heart failure. VQ Mismatch and Hyponatremia lectures have been popular among medical students and physicians. The Pulmonary Function Tests (PFTs) videos and Ventilator-associated pneumonia bundles and lectures have been particularly popular with RTs. NPs and PAs have given great feedback on Pneumonia Treatment and Liver Function Tests among many others. Many nursing students have found the Asthma and shock lectures very helpful. We're starting a new course series on clinical ultrasound / ultrasound medical imaging. Recommended Audience - medical professionals and medical students: including physicians, nurse practitioners, physician assistants, nurses, respiratory therapists, EMT and paramedics, and many others. Review and test prep for USMLE, MCAT, PANCE, NCLEX, NAPLEX, NBDE, RN, RT, MD, DO, PA, NP school and board examinations. More from MedCram.com medical videos: MedCram Website: https://www.medcram.com Facebook: https://www.facebook.com/MedCram Google+: https://plus.google.com/u/1/+Medcram Twitter: https://twitter.com/MedCramVideos Subscribe to the official MedCram.com YouTube Channel: https://www.youtube.com/subscription_center?add_user=medcramvideos Produced by Kyle Allred PA-C Please note: MedCram medical videos, medical lectures, medical illustrations, and medical animations are for medical education and exam preparation purposes, and not intended to replace recommendations by your doctor or health care provider.
Radiation Safety and Medical Imaging
 
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(Visit: http://www.uctv.tv/) Improvements in diagnostic imaging – US, CT, MRI, PET – have been spectacular and the use of imaging has soared over the last two decades driven by a combination of patient and physician demand. Dr. Rebecca Smith‐BindmanIs looks at the potential harm associated with radiation exposure and what you should do about it. Recorded on 02/23/2016. Series: "UCSF Osher Center for Integrative Medicine presents Mini Medical School for the Public" [4/2016] [Health and Medicine] [Show ID: 30672]
Daniel Rueckert: "Deep learning in medical imaging"
 
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New Deep Learning Techniques 2018 "Deep learning in medical imaging: Techniques for image reconstruction, super-resolution and segmentation" Daniel Rueckert, Imperial College London Abstract: This talk will introduce framework for reconstructing MR images from undersampled data using a deep cascade of convolutional neural networks to accelerate the data acquisition process. We show that such a method can outperforms state-of-the-art compressed sensing approaches, such as dictionary learning-based MRI (DLMRI) reconstruction, both in terms of image quality and reconstruction speed. We will also discuss image super-resolution approaches that are based on residual CNNs and which can reconstruct high resolution 3D volumes from 2D image stacks for more accurate image analysis and visualisation. In addition, we will present neural networks for medical image segmentation. More specifically, we will discuss unsupervised domain adaptation using adversarial neural networks to train a segmentation method which is more invariant to differences in the input data (across different scanners and acquisition protocols), and which does not require any annotations on the test domain. Finally, the talk will ensemble methods for segmentation, (Ensembles of Multiple Models and Architectures – EMMA) which provide robust performance through aggregation of predictions from a wide range of methods. EMMA can be seen as an unbiased, generic deep learning model which is shown to yield excellent performance, winning the first position in the BRATS 2017 competition among 50+ participating teams. Institute for Pure and Applied Mathematics, UCLA February 6, 2018 For more information: http://www.ipam.ucla.edu/programs/workshops/new-deep-learning-techniques/?tab=overview
Lecture 1/Chapter 38 - Foundations of Radiography
 
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DATS - Foundations of Radiography
Views: 10794 DATSMDVA
Neuroradiology imaging film reading  I -Prof Dr. Mamdouh Mahfouz (Cairo2018)
 
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Neuroradiology imaging film reading I -Prof Dr. Mamdouh Mahfouz (In english)
Views: 997 Mamdouh Mahfouz
Mechanical Ventilation Explained Clearly - Ventilator Settings & Modes (Remastered)
 
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Get clarity on mechanical ventilation with illustrations by Dr. Roger Seheult of http://www.medcram.com. This video is part of the "MedCram Remastered" series: A video we've re-edited & sped up to make learning even more efficient. Includes a discussion on simplifying the different modes of ventilation (based on volume, pressure, rate, flow, O2, CPAP) and other ventilator basics. This is video 1 of 12 on mechanical ventilation and ventilator machines. Visit https://www.MedCram.com for the rest of this course (on mechanical ventilation foundations) and over 100 other lectures. MedCram.com is the home for ALL MedCram medical videos (many medical lectures, and quizzes are not on YouTube). Speaker: Roger Seheult, MD Co-Founder of MedCram.com (https://www.medcram.com) Clinical and Exam Preparation Instructor Board Certified in Internal Medicine, Pulmonary Disease, Critical Care, and Sleep Medicine. Visit https://www.MedCram.com for hundreds of clear & concise videos MedCram = MORE understanding in LESS time MedCram: Medical education topics explained clearly including: Respiratory lectures such as Asthma and COPD. Renal lectures on Acute Renal Failure and Adrenal Gland. Internal medicine videos on Oxygen Hemoglobin Dissociation Curve and Medical Acid Base. A growing library on critical care topics such as Shock, Diabetic Ketoacidosis (DKA), and Mechanical Ventilation. Cardiology videos on Hypertension, ECG / EKG Interpretation, and heart failure. VQ Mismatch and Hyponatremia lectures have been popular among medical students and physicians. The Pulmonary Function Tests (PFTs) videos and Ventilator-associated pneumonia lectures have been particularly popular with RTs. NPs and PAs have provided great feedback on Pneumonia Treatment and Liver Function Tests among many others. Mechanical ventilation for nursing and the emergency & critical care RN course is available at MedCram.com. Dr. Jacquet teaches our FAST exam tutorial & bedside ultrasound courses. Many nursing students have found the Asthma and shock lectures very helpful. We're starting a new course series on clinical ultrasound & ultrasound medical imaging. Recommended Audience - Medical professionals and medical students: including physicians, nurse practitioners, physician assistants, nurses, respiratory therapists, EMT and paramedics, and many others. Review and test prep for USMLE, MCAT, PANCE, NCLEX, NAPLEX, NBDE, RN, RT, MD, DO, PA, NP school and board examinations. More from MedCram medical lectures: Website: https://www.MedCram.com Facebook: https://www.facebook.com/MedCram Google+: https://plus.google.com/u/1/+Medcram Twitter: https://twitter.com/MedCramVideos Subscribe to the official MedCram.com YouTube Channel: https://www.youtube.com/subscription_center?add_user=medcramvideos Produced by Kyle Allred PA-C Please note: MedCram medical videos, medical lectures, medical illustrations, and medical animations are for medical education and exam preparation purposes, and not intended to replace recommendations by your doctor or health care provider.
Bedside Ultrasound / Point of Care Ultrasound - Various Uses & High Utility
 
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Overview of the various ways that medical professionals are using clinical/ bedside ultrasound (also known as point-of-care ultrasound), and reasons more clinicians should consider its use. Dr. Seheult of MedCram.com interviews clinical ultrasound expert Dr. Jacquet on bedside ultrasound including: - What is "clinical ultrasound" and is it any different than bedside ultrasound or point of care ultrasound? - Medical specialties and professionals who are using clinical ultrasound (Physicians, nurses, nurse practitioners, PAs, RTs, ultrasound technicians, paramedics, etc.) - The huge diagnostic advantages bedside ultrasound gives clinicians. - Newer technologies in clinical sonography. - Is ultrasound difficult to learn, and what are next steps for those who want to make ultrasound part of their practice? Dr. Jacquet recently joined the MedCram team and we've launched the first of several "Clinical Ultrasound Explained Clearly" courses. The first course will help you master the foundations of bedside ultrasound and is available here: https://www.medcram.com/courses/clinical-bedside-ultrasound This course includes: - A clear understanding of the physics of ultrasound waves & and how they react in tissue. - An overview of ultrasound transducers and what they're used for. - Key ultrasound terminology, orientation, imaging planes, and biosafety. - Step by step illustrations of the nobs, dials, and modes of an ultrasound machine ("knobology"). - Examples of various ultrasound artifacts that impact ultrasound images. - How to handle an ultrasound transducer and set up the machine for your first ultrasound exam. Visit https://www.MedCram.com for top rated medical courses and over 100 free lectures. MedCram: Medical education topics explained clearly including: Respiratory lectures such as Asthma and COPD. Renal lectures on Acute Renal Failure and Adrenal Gland. Internal medicine videos on Oxygen Hemoglobin Dissociation Curve and Medical Acid Base. A growing library on critical care topics such as Shock, Diabetic Ketoacidosis (DKA), and Mechanical Ventilation. Cardiology videos on Hypertension, ECG / EKG Interpretation, and heart failure. VQ Mismatch and Hyponatremia lectures have been popular among medical students and physicians. The Pulmonary Function Tests (PFTs) videos and Ventilator-associated pneumonia bundles and lectures have been particularly popular with RTs. NPs and PAs have given great feedback on Pneumonia Treatment and Liver Function Tests among many others. Many nursing students have found the Asthma and shock lectures very helpful. We're starting a new course series on clinical ultrasound / ultrasound medical imaging. Recommended Audience - medical professionals and medical students: including physicians, nurse practitioners, physician assistants, nurses, respiratory therapists, EMT and paramedics, and many others. Review and test prep for USMLE, MCAT, PANCE, NCLEX, NAPLEX, NBDE, RN, RT, MD, DO, PA, NP school and board examinations. More from MedCram.com medical videos: MedCram Website: https://www.medcram.com Facebook: https://www.facebook.com/MedCram Google+: https://plus.google.com/u/1/+Medcram Twitter: https://twitter.com/MedCramVideos Subscribe to the official MedCram.com YouTube Channel: https://www.youtube.com/subscription_center?add_user=medcramvideos Produced by Kyle Allred PA-C Please note: MedCram medical videos, medical lectures, medical illustrations, and medical animations are for medical education and exam preparation purposes, and not intended to replace recommendations by your doctor or health care provider.
My MEG Scan
 
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Follow Max during his MEG Scan at the CHOP Lurie Family Foundations MEG Imaging Lab. For more: Resources that highlight our research and MEG technology at CHOP: http://www.research.chop.edu/programs/car/our_team/details/?cat=1&id=5 http://www.chop.edu/treatments/magnetoencephalography-meg-scan#.VVtuX7lVhBc http://www.chop.edu/news/brain-imaging-links-language-delay-chromosome-deletion-children-neurological-disorders#.VVtu-rlVhBc http://www.cnet.com/news/diagnosing-autism-with-meg-imaging/ https://www.youtube.com/watch?v=UtmSNMurmX4 http://usa.healthcare.siemens.com/news-and-events/autism-research
Vandy BME 258-- We Get Knocked Down (Principles of MRI)
 
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The principles of MRI to the tune of Tubthumping by Chumbawamba. Class project for BME258--Foundations of Medical Imaging at Vanderbilt University
Views: 301 superrainbowchicken
A Visit to South Bruce Grey Health Centre's Diagnostic Imaging Department
 
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We had some young visitors in our Diagnostic Imaging Department to show our communities what happens when you come to South Bruce Grey Health Centre for a CT scan. Thank you for supporting the fundraising efforts of our local hospital foundations for our new CT scanner! #ComeTogether
Views: 169 SBGHealthCentre
Introduction to Anatomy
 
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This brief video tutorial discusses the anatomical position, directional terms and planes/sections. The focus for planes/sections are in the context of radiographic imaging. - Anatomical position (0:17-2:37) - Directional terms of position (2:37-9:15) - Planes and Sections (9:15-18:46) - Intro to anatomy in a nutshell (18:46-19:05)
Views: 5199 The Noted Anatomist
The Past and Future of Radiological Imaging
 
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Learn about new methods using computer-aided diagnosis algo¬rithms that are being developed for a broad range of diseases, organs, and imaging modalities. This talk will present highlights of the history of radiological imaging and the challenges facing the developers of new applications in medical imaging. She is a Fellow of the Optical Society of America and American Institute for Medical Biological Engineering. Dr. Kyle Myers is the coauthor, with Harrison H. Barrett, of the book Foundations of Imaging Science, published and winner of the First Biennial J.W. Goodman Book Writing Award from Optical Society of America and American Institute for Medical Biological Engineering.
Views: 4541 Distinctive Voices
Avon Foundation Breast Imaging Center at NewYork-Presbyterian
 
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The Avon Foundation Breast Imaging Center at NewYork-Presbyterian/Columbia University Medical Center is a dedicated screening facility offering state-of-the-art imaging services in a supportive, private, and comfortable setting. Our staff schedules appointments quickly and efficiently and ensures that you are provided with your results as soon as possible. For more information, please visit: http://nyp.org/services/avon.html
PyData Tel Aviv Meetup: Deep Learning and Medical Imaging - Bella Fadida Specktor
 
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PyData Tel Aviv Meetup #15 23 July 2018 Sponsored and Hosted by Taboola https://www.meetup.com/PyData-Tel-Aviv/ Even though Deep Learning has been very popular in Computer Vision community already since 2012, only in the last years it gained popularity also in the medical imaging domain. In this talk I will present the unique challenges in the medical imaging domain, and how they can be addressed. We will take image segmentation as an example and see the evolution of solutions for this problem. www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. Find a PyData chapter near you: meetup.com/pro/pydata
Views: 871 PyData
Unsupervised and Semi-Supervised Deep Learning for Medical Imaging: Kiran Vaidhya
 
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Availability of labelled data for supervised learning is a major problem for narrow AI in current day industry. In imaging, the task of semantic segmentation (pixel-level labelling) requires humans to provide strong pixel-level annotations for millions of images and is difficult when compared to the task of generating weak image-level labels. Unsupervised representation learning along with semi-supervised classification is essential when strong annotations are hard to come by. This talk will introduce you to the techniques available in unsupervised learning and semi-supervised learning with specific focus on brain tumor segmentation from MRI using Stacked De-noising Auto-Encoders (SDAEs), which achieved competitive results in comparison with purely supervised Convolutional Neural Networks (CNNs), and highlight recent breakthroughs in AI for computer vision. Although the focus is on medical imaging, the techniques will be presented in a domain agnostic manner and can be easily translated for other sectors of deep learning. Slides and more info: https://anthillinside.talkfunnel.com/2017/12-unsupervised-and-semi-supervised-deep-learning-for
Views: 1044 HasGeek TV
Biomedicine & the Foundations of Data?
 
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Dr. Michael Mahoney is a professor at the University of California, Berkeley. In this recording, he presents a web lecture titled, “Biomedicine & the Foundations of Data?.” Video Description Recent technological advances have permitted the generation of enormous quantities of data in a wide range of application domains, from the social sciences and social media to electronic and traditional commerce to the physical and biomedical sciences. This has in turn generated interest in foundational issues. Examples of such issues are to understand what is common and what is distinct between data in each of these areas and methods applied to data from each of these areas, to address theoretical questions underlying machine learning and data analysis tools, and to ask what does it even mean to provide a foundation for an area as diverse as what is currently called data science. Dr. Mahoney will address some of these questions, including how biomedicine may fit within this area. He will provide a "test case" example of how work on foundational topics has been applied to biomedical problems: the development of algorithmically and statistically principled and interpretable low-rank matrix decompositions and how they can then be implemented and applied to terabytes of data to solve very practical genetics and medical imaging problems. He will then conclude by describing some challenges and opportunities. About the Speaker Michael W. Mahoney is at the University of California at Berkeley in the Department of Statistics and at the International Computer Science Institute (ICSI). He works on algorithmic and statistical aspects of modern large-scale data analysis. Much of his recent research has focused on large-scale machine learning, including randomized matrix algorithms and randomized numerical linear algebra, geometric network analysis tools for structure extraction in large informatics graphs, scalable implicit regularization methods, and applications in genetics, astronomy, medical imaging, social network analysis, and internet data analysis. He received his PhD from Yale University with a dissertation in computational statistical mechanics, and he has worked and taught at Yale University in the mathematics department, at Yahoo Research, and at Stanford University in the mathematics department. Among other things, he is on the national advisory committee of the Statistical and Applied Mathematical Sciences Institute (SAMSI), he was on the National Research Council's Committee on the Analysis of Massive Data, he co-organized the Simons Institute's Fall 2013 program on the Theoretical Foundations of Big Data Analysis, and he runs the biennial MMDS Workshops on Algorithms for Modern Massive Data Sets. He is currently running the NSF/TRIPODS-funded FODA (Foundations of Data Analysis) Institute at UC Berkeley. View slides from this lecture: Coming soon… Visit our webpage to view archived videos covering various topics in data science: https://bigdatau.ini.usc.edu/data-science-seminars
Partial Saturation Sequence
 
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Partial Saturation Sequence explained, for the term project of Bilkent University EEE 474 Foundations of Magnetic Resonance Imaging course.
Views: 151 Omur Yanikomeroglu
Foundation Radiology Group Top Company
 
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Foundation Radiology Group, based in Pittsburgh, Penn., is a trusted advisor for integrated delivery networks, community hospitals, academic medical centers and local radiologists. With more than 30 hospitals, our fully integrated radiology solutions platform combines onsite local radiologists and subspecialty services of a highly-trained physician team. Foundation’s more than 90 radiologists are all US-based providers. We off er expertise in every subspecialty, including interventional radiology. Our radiology team is available for consults day and night and delivers final reads 24/7/365.
Medical Imaging Informatics
 
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Views: 14 jessen
AI defeats doctors in neuro imaging competition
 
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(5 Jul 2018) LEADIN   Artifical Intelligence has defeated a group of human doctors in a neuroimaging competition in Beijing. In two rounds of competition, contestants raced to diagnose brain conditions by interpreting CT and MRI images. But the human doctors say there's still a lot for AI to learn. STORYLINE This is the world's first competition between physicians and artificial intelligence in neuroimaging. Human medics competed against AI to diagnose brain tumours and predict haemorrhage and cerebrovascular diseases by studying images of over 200 cases within the required time. The human team of 30 radiologists and neurological doctors lost to the neurological disease diagnostic AI system called BioMind. In both rounds the AI was 20 percent more accurate. BioMind was devised in the lab that was set up by the China National Clinical Research Center and Hanalytics Artificial Intelligence Research Centre for Neurological Diseases in the Beijing Tiantan Hospital, which specialises in treatment for neurological conditions. Developed with deep learning (machine based learning), BioMind was trained with tens of thousands of CT and MRI images of neurological disorder cases that were archived by Beijing Tiantan Hospital in the past decade to teach the system to recognize brain-related diseases on images and produce a preliminary diagnosis as the reference for doctors. The AI system aims at assisting doctors to reduce blind spots and misdiagnosis, and increasing doctors' efficiency, says Raymond Moh, CEO of Hanalytics. "The entire process of diagnosis can take half an hour to close an hour to analyze thousands of images just for one patient alone. But the whole process can be automated all within a few seconds with artificial intelligence," Moh says. However Jing Lina, a radiologist from Beijing Tiantan Hospital on the losing human team, doubts the system could handle real-world complexities beyond the "either-or questions" of the competition. "There are situations where two similar images indicate two different pathological features. We were not given any information about patients' medical history, which we can use for comprehensive diagnosis. We have nothing but the MRI images," says Jing a member of the human diagnostic team. "One of the advantages that human doctors enjoy is that we have solid medical foundations and background with which we can make the comprehensive analysis. With all these information, I believe we have the chance to beat AI" Jing adds. The medical demands of China's enormous population have stressed the supply of trained doctors. The government has turned to AI for a solution. The State Council, China's chief administrative authority, in July 2017 issued the "Three-Year Action Plan for Promoting the Development of a New Generation of Artificial Intelligence (2018-2020)", which proposed to establish a fast and accurate AI application system in medical care to upgrade medical service. In this country, every year, there is 40 percent increase of medical images. But the increment of radiologists is less than five percent. This gap is going to increase. You will never be able to address (the issue) by traditional IT solution. So AI is probably one of the only solution to close this gap. The problem is there is not enough radiologists and doctors to start with to be replaced, rather, AI itself is to fill this gap" says Moh. BioMind has achieved an accuracy rate of around 90 percent in the diagnosis of common neurological diseases. Find out more about AP Archive: http://www.aparchive.com/HowWeWork Twitter: https://twitter.com/AP_Archive Facebook: https://www.facebook.com/APArchives Google+: https://plus.google.com/b/102011028589719587178/+APArchive​ Tumblr: https://aparchives.tumblr.com/​​ Instagram: https://www.instagram.com/APNews/ You can license this story through AP Archive: http://www.aparchive.com/metadata/youtube/1217bbbfbcaae9066fd5a391873ed034
Views: 449 AP Archive
INTRO LECTURE
 
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Introduction for Radiology
Views: 174 Nipon Wongprasert
Deep Learning in Biomedicine: Challenges and Opportunities by Dr. Olivier Gevaert
 
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Massive amounts of data are being generated in biomedicine ranging from molecular, to cellular, to tissue-scale data. It is now possible to study a patient from multiple angles and scales with multi-modal, multi-scale, high dimensional, and high throughput biomedical data. However, these data are noisy, sometimes parts are missing, and it is unknown what entities are important for “precision medicine,” the concept that medical care has to be designed to optimize treatment of a patient by using the patient’s own data. In parallel, deep learning has revolutionized fields such as image recognition, natural language processing and, more broadly, machine learning and AI. Now, deep learning is becoming increasingly more popular for analyzing biomedical data. This talk will introduce the types of data in biomedicine, including images, text to numeric data, and the potential opportunities and challenges for modeling this data using deep learning. Dr. Olivier Gevaert is an assistant professor of medicine (biomedical informatics) and biomedical data science at the Stanford University School of Medicine. The Gevaert Lab focuses on multi-scale biomedical data fusion focusing on applications in oncology. This involves modeling data at molecular, cellular, and tissue levels using a wide range of different technologies such as sequencing (DNA, RNA) and imaging (MRI, CT, PET, etc.). The lab develops computational approaches to find relevant patterns in these high dimensional, multi-modal data sets. These machine-learning methods combine elements from statistic and mathematics and apply them on multi-scale data, ranging from molecular biology, to pathology, to radiology.
Views: 1770 Devoxx
Transthoracic Echocardiography: FOUNDATIONS, 2nd Edition, 2018
 
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Author: Bernard E. Bulwer, MD, MSc, RCS, FASE Boston, Massachusetts, USA BOOK LINK: https://www.amazon.com/gp/product/1721777970/ref=dbs_a_def_rwt_hsch_vapi_taft_p1_i5 AUTHOR PAGES: https://www.amazon.com/Bernard-E.-Bulwer/e/B001JPCKTO Transthoracic Echocardiography: Foundations of Image Acquisition and Interpretation- 2nd Edition, Publication: July 2018 (Print Version). 500 pages. Amazon Kindle Edition in progress. This book is a the most highly illustrated and practical tour de force on the essential foundations of optimal image acquisition and interpretation in adult transthoracic echocardiography. A foundation reference for cardiac sonographers, medical students, medical residents and fellows, specialists, and the medical imaging specialties. FEATURES: The most highly illustrated guide to the ASE-recommended standards nomenclature in adult transthoracic echocardiography. An expert foundation guide to the performance and interpretation of the adult transthoracic echocardiography examination. Fundamentals of echo-anatomy, echo-physiology, hemodynamics, basic physical principles of cardiac ultrasound, and the standard echocardiographic views. Over 2,000 insightful illustrations, images, infographics, and flow charts. WHAT’S NEW IN THE SECOND EDITION Greatly expanded Reference Guide, with updated Figures and Tables. Includes the most recent ASE/EACVI guidelines on chamber quantification, using highly illustrated formats.
Medical Data Innovation: Building the Foundations of a Health Information Economy
 
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On April 26, 2011, the Supreme Court heard oral arguments in IMS Health v. Sorrell, a case that will decide whether state laws that restrict the use of prescriber-identified data violate the First Amendment protections of free speech. This case will have important implications for how health data will be used for medical research, patient education, marketing, and health care reform. Do laws that burden or ban the use of de-identified data for marketing purposes also impede medical research? Under the Constitution, can states that want to regulate the conduct of those who use data do so indirectly by restricting the factual data itself? What would be the real-world consequences to health care and technological innovation if the laws restricting or banning particular data sets survive Constitutional scrutiny? What privacy angles should be considered? And more broadly, is de-identified medical data a public good or private property? These are important questions that policymakers will face as government and industry invest billions of dollars in health information technology. ITIF presents a discussion about how de-identified medical data is used today and how policy can help create opportunities to promote data-driven medical innovations. Cathy Betz, Vice President, Wolters Kluwer Pharma Solutions Marc A. Rodwin, Professor, University Law School Ann B. Waldo, Partner, Wittie, Letsche & Waldo LLP Moderator: Daniel Castro, Senior Analyst, Information Technology and Innovation Foundation
Views: 518 techpolicy
McKenzie Medical Imaging NueSoft Contest
 
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McKenzie Medical Imaging's entry for the NueSoft "Make Software Sexy" contest www.youtube.com/group/MakeSoftwareSexy Click "I Love It!"
Views: 1132 Joedly
ST Elevation - EKG / ECG Interpretation Case 12 (STEMI, MI, ACS)
 
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ECG Interpretation of ST segment elevation and possible STEMI by Dr. Seheult. This video is part of the complete EKG Interpretation course at https://www.medcram.com/courses/ekg-ecg-interpretation-explained-clearly 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 𝗼𝗳 𝘁𝗵𝗶𝘀 𝘃𝗶𝗱𝗲𝗼 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: - Clues and criteria to assess for STEMI (ST-Segment Elevation Myocardial Infarction) vs other causes of ST elevation (pericarditis etc.). - A systematic approach to reading an ECG (rate, rhythm, axis, hypertrophy, ST changes, etc.) - Initial steps of STEMI treatment 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐜𝐨𝐮𝐫𝐬𝐞 𝐢𝐧𝐜𝐥𝐮𝐝𝐞𝐬 𝐭𝐡𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠: - The physiology of the heart - EKG leads and vectors - Leads and EKG paper - The ECG tracing - EKG waves, complexes, and intervals (p waves, QRS complexes, PR interval etc.) - Axis on EKG and precordial leads - The autonomic nervous system and the heart - Heart rate and automaticity on the ECG - The R to R interval - Rhythm, arrhythmias, and escape rhythms, - Premature beats and pauses on EKG - Bigeminy, trigeminy, and tachyarrhythmias - V-tach and torsades de points - Atrial and ventricular flutter - WPW syndrome (Wolff-Parkinson-White) and WPW pattern. - Atrial fibrillation and ventricular fibrillation on ECG - Heart blocks and escape rhythms (1st, 2nd, and 3rd-degree heart block) - Bundle branch blocks, hemiblocks, and fascicular blocks - Hypertrophy (LVH) and atrial enlargement - COPD, PE, Hyperkalemia, Digoxin and the EKG - How to systematically read an EKG (and the appearance of a normal ECG). - Many practice EKG strips (that Dr. Seheult interprets step by step) - EKG quizzes follow each video. Visit https://www.MedCram.com for the complete ECG course and over 100 free lectures. This is the home for ALL MedCram.com medical videos (many medical videos, medical lectures, and quizzes are not on YouTube). Speaker: Roger Seheult, MD Co-Founder of MedCram.com (https://www.medcram.com) Clinical and Exam Preparation Instructor Board Certified in Internal Medicine, Pulmonary Disease, Critical Care, and Sleep Medicine. Visit https://www.MedCram.com for hundreds of clear & concise videos MedCram = MORE understanding in LESS time MedCram: Medical education topics explained clearly including: Respiratory lectures such as Asthma and COPD. Renal lectures on Acute Renal Failure and Adrenal Gland. Internal medicine videos on Oxygen Hemoglobin Dissociation Curve and Medical Acid Base. A growing library on critical care topics such as Shock, Diabetic Ketoacidosis (DKA), and Mechanical Ventilation. Cardiology videos on Hypertension, ECG / EKG Interpretation, and heart failure. VQ Mismatch and Hyponatremia lectures have been popular among medical students and physicians. The Pulmonary Function Tests (PFTs) videos and Ventilator-associated pneumonia bundles and lectures have been particularly popular with RTs. NPs and PAs have given great feedback on Pneumonia Treatment and Liver Function Tests among many others. Dr. Jacquet teaches our FAST exam tutorial & bedside ultrasound courses. Many nursing students have found the Asthma and shock lectures very helpful. We're starting a new course series on clinical ultrasound/ultrasound medical imaging. Recommended Audience - Medical professionals and medical students: including physicians, nurse practitioners, physician assistants, nurses, respiratory therapists, EMT and paramedics, and many others. Review and test prep for USMLE, MCAT, PANCE, NCLEX, NAPLEX, NBDE, RN, RT, MD, DO, PA, NP school and board examinations. More from MedCram.com medical lectures: Facebook: https://www.facebook.com/MedCram Google+: https://plus.google.com/u/1/+Medcram Twitter: https://twitter.com/MedCramVideos Subscribe to the official MedCram.com YouTube Channel: https://www.youtube.com/subscription_center?add_user=medcramvideos Produced by Kyle Allred PA-C Please note: MedCram medical videos, medical lectures, medical illustrations, and medical animations are for medical education and exam preparation purposes, and not intended to replace recommendations by your doctor or health care provider.
MISS 2016 Favignana Spot
 
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MOTIVATION AND DESCRIPTION (http://iplab.dmi.unict.it/miss16/) Medical imaging is the science and technology to acquire images of the human body (either as a whole or in parts) for clinical interpretation or interventions. The main challenge for clinicians lies in the explosive number of images being acquired, and their hidden, often complementary or dynamic information contents. To aid the analysis of this increasing amount and complexity of medical images, medical image computing has emerged as an interdisciplinary field at the interface of computer science, engineering, physics, applied mathematics, and of course medicine. In this field, scientists aim to develop robust and accurate computational methods to extract clinically relevant information. In contrast, the field of computer vision is the science and technology of “making machines that see”, with a focus on the design, theory and implementation of techniques that allow for automatic processing and interpretation of images and videos throught the exploitation of machine learnin. Recent research in these traditionally separate fields suggests that both scientific communities could mutually benefit from one another – but a scientific gap continues to exist. The focus of this Medical Imaging Summer School (MISS) is to train a new generation of young scientists to bridge this gap, by providing insights into the various interfaces between medical imaging, computer vision and machine learning, based on the shared broad categories of: image segmentation, registration and reconstruction, classification and modelling, and computer-aided interpretation. The course will contain a combination of in-depth tutorial-style lectures on fundamental state-of-the-art concepts, followed by accessible yet advanced research lectures using examples and applications. A broad overview of the field will be given, and guided reading groups will complement lectures. The course will be delivered by world renowned experts from both academia and industry, who are working closely at the interface of medical imaging/computer vision. The school aims to provide a stimulating graduate training opportunity for young researchers and Ph.D. students. The participants will benefit from direct interaction with world leaders in medical image computing and computer vision (often working in both fields). Participants will also have the opportunity to present their own research, and to interact with their scientific peers, in a friendly and constructive setting. For more information, send an email to [email protected] SCHOOL DIRECTORS • Roberto Cipolla, University of Cambridge, United Kingdom • Giovanni Maria Farinella, University of Catania, Italy • Julia Schnabel, King's College London, United Kingdom • Filippo Stanco, University of Catania, Italy
Foundations of Deep Learning (Hugo Larochelle, Twitter)
 
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The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live streams and provided links to each below in case that's useful for people who want to watch specific talks several times (like I do). Please check out the official website (http://www.bayareadlschool.org) and full live streams below. Having read, watched, and presented deep learning material over the past few years, I have to say that this is one of the best collection of introductory deep learning talks I've yet encountered. Here are links to the individual talks and the full live streams for the two days: 1. Foundations of Deep Learning (Hugo Larochelle, Twitter) - https://youtu.be/zij_FTbJHsk 2. Deep Learning for Computer Vision (Andrej Karpathy, OpenAI) - https://youtu.be/u6aEYuemt0M 3. Deep Learning for Natural Language Processing (Richard Socher, Salesforce) - https://youtu.be/oGk1v1jQITw 4. TensorFlow Tutorial (Sherry Moore, Google Brain) - https://youtu.be/Ejec3ID_h0w 5. Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU) - https://youtu.be/rK6bchqeaN8 6. Nuts and Bolts of Applying Deep Learning (Andrew Ng) - https://youtu.be/F1ka6a13S9I 7. Deep Reinforcement Learning (John Schulman, OpenAI) - https://youtu.be/PtAIh9KSnjo 8. Theano Tutorial (Pascal Lamblin, MILA) - https://youtu.be/OU8I1oJ9HhI 9. Deep Learning for Speech Recognition (Adam Coates, Baidu) - https://youtu.be/g-sndkf7mCs 10. Torch Tutorial (Alex Wiltschko, Twitter) - https://youtu.be/L1sHcj3qDNc 11. Sequence to Sequence Deep Learning (Quoc Le, Google) - https://youtu.be/G5RY_SUJih4 12. Foundations and Challenges of Deep Learning (Yoshua Bengio) - https://youtu.be/11rsu_WwZTc Full Day Live Streams: Day 1: https://youtu.be/eyovmAtoUx0 Day 2: https://youtu.be/9dXiAecyJrY Go to http://www.bayareadlschool.org for more information on the event, speaker bios, slides, etc. Huge thanks to the organizers (Shubho Sengupta et al) for making this event happen.
Views: 27454 Lex Fridman
Gary Steinberg, MD: Clinical application of immersive, patient-specific three-dimensional...
 
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The introduction and advancement of medical imaging and imaging analysis has allowed physicians to better diagnose, monitor, and treat patients by viewing the body with a level of detail previously unavailable. In addition to CT, MRI, and PET scans, higher resolution MRI imaging has given rise to MRI-based Diffusion Tensor Imaging (DTI), which allows the visualization of the brain’s various white matter tracts. This proposal for a Technology Hub Exhibit examines a novel FDA-approved technology currently in use at Stanford Hospital designed to provide digitally rendering patient-specific, three-dimensional virtual reality (VR) models based on multiple imaging modalities that are fused together (Fig. 1). This technology integrates with various VR hardware platforms to allow physicians, residents, students, and patients to become fully immersed within the anatomy to gain a unique perspective of the human body. 360VR is applied across the continuum of the patient’s health care from the initial consultation, to preoperative surgical planning, to intraoperative surgical navigation, to increased education for particular surgical approaches and pathologies. The technology is currently used in, but not limited to, neurosurgery and can import and fuse any DICOM files with volumetric data. The novel use of 360VR in the clinic involves fusing patient-specific two-dimensional DICOM images from multiple imaging modalities (CT, MRI, DTI, angiography) to create volumetric models in VR. The surgeon then shows the patients these models during consultation, where they can manipulate the anatomy themselves via touchscreen controls. It is hypothesized that utilizing this new technology in the clinic setting will enhance patient engagement, understanding, and satisfaction and, ultimately, create a more meaningful shared decision making process. Preoperatively, these immersive 360VR models are used by the surgeon to review and rehearse the planned surgery. This can be as simple as reviewing the planned craniotomy and trajectory to rehearsing the application of interventional devices such as aneurysm clips. The 360VR device is also used in the operating room during the actual surgical procedure. Surgical Theater’s 360VR technology connects to standard intraoperative navigation systems that display tools in 2D DICOM slices and significantly enhances this visualization by displaying 3D representations of the surgical tools within the VR environment of the anatomy and pathology. After surgery, postoperative scans can be fused into the pre-operative model to assess the amount of tumor resected or the progression of recurrence postoperatively. Whether presented to the patient, the patient’s family, the surgeon, trainees, philanthropists or collaborating colleagues, 360VR seems to be a universal language adept at quickly conveying complex, context-specific spatial information, bridging the gaps between technology, patient, and physician.
Views: 361 Stanford Medicine X
SMI - Theological Foundations of Medicine II - Part 1
 
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Rev. Steve Munz gives a series of lectures and discussions on the Biblical framework of medicine. This series was a part of Summer Medical Institute Philladelphia 2011. smiphilly.wordpress.com
Views: 34 Dan Mirsch
You are NOT your F*cking MRI
 
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You are NOT your MRI. You are NOT your diagnosis and you are NOT just another statistic. You are YOU. Here’s the troubling truth behind unreliable diagnostic imaging, the quick fix surgery business and the big compounding problem which is today’s mainstream medical industry. Full article here: https://drjohnrusin.com/you-are-not-your-fcking-mri/ I'm exceptionally fortunate to be working with clients and athletes every single day on my Foundations Program. They are stepping up, and proving their MRI's wrong while rebuilding their bodies WITHOUT surgery. If you need a restart to intelligent training, I cannot recommend this program and resource enough. https://drjohnrusin.com/foundations/
Views: 290 John Rusin
Breast Pathology, A Volume in the Foundations in Diagnostic Pathology Series, 2nd Edition
 
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A quick, easy way to get all the most essential information on the pathological entities of the breast encountered in practice. Covering everything from clinical features and ancillary studies to differential diagnoses and prognostic and therapeutic considerations, this title helps you to efficiently generate a complete and accurate report for virtually any specimen. For more information, please visit http://www.us.elsevierhealth.com/product.jsp?sid=EHS_US_BS-SPE-951&isbn=9781437717570&lid=EHS_US_BS-DIS-1&iid=&dmnum=null&elsca1=CriticalCare&elsca2=soc_med&elsca3=null&elsca4=youtube_ELSpromovideos.

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