Continuing medical education (CME) credits are not available for the 2020 AIMI Symposium. Stanford Event Calendar: List of organizations Skip to main content. 12:00 pm. © Stanford University, Stanford, California 94305. Only attendees who agree to be professional at all times and are comfortable with keeping their microphone and video on during the activity should participate in this event. Class; Conference / Symposium; Exhibition; Information Session; Lecture / Reading / Talk; Meeting; Performance; Ph.D. Instagram, Twitter, Facebook, Images, Youtube and more on IDCrawl - the leading free people search engine. International Zoom-Based Neuroscience Research Talk Series: Professor Amita Sehgal, University of Pennsylvania, and Professor Matthew Dalva, Thomas Jefferson University. On Wednesday, August 22, 2018, Presence will launch its AiMIE Symposium (Artificial Intelligence in Medicine: Inclusion and Equity).. It basically gives the probability of what’s the transcriptome signature. Stanford AIMI & Hospital Israelita Albert Einstein's COVID-19 Researchathon. We are able to provide proof of symposium registration for registered attendees, if needed. You may also view the playlist on our YouTube channel. AIMI Symposium. Zoom. We are able to provide proof of symposium registration for registered attendees, if needed. Participants will need to have Zoom installed on their computer or phone and be logged into their Zoom account in order to participate. Recordings of the 2020 AIMI Symposium will be linked on the agenda a few weeks after the event. Pre-submitted questions and comments will be automatically posted in the live chat room during the relevant session so that attendees can respond and upvote during the symposium. Eric Topol, Stanford AIMI Symposium, AI In Medicine and Imaging, Aug. 5, 2020 “The HE2RNA study uses deep learning for predicting RNA-seq in tumors. The Slido chat box will be located on the right side of the livestream page and can also accessed, Attendees may also pre-submit submit questions and comments prior to the symposium. Thursday, February 18, 2021. PHIND 2021 Symposium. The Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI Center) in collaboration with Google Cloud, is offering Stanford researchers the opportunity to receive up to $20,000 per year of Google Cloud research credits on any Google Cloud product. Stanford Medicine AIF Symposium ... Uniting in the global fight for maternal and newborn health, this symposium held on October 14, 2016 brought together leaders in academia, philanthropy, and technology to better understand how community activism and cost-effective innovation can improve healthcare access in India and other nations in the developing world. Featured; Today; By Date < Current Month > Su Mo Tu We Th Fr Sa; Javascript must be enabled: By Type. Applied AI in Healthcare: Safety, Community, and the Environment Virtually at Stanford University in Palo Alto, California The Spring 2020 Symposium will discuss ways to solve health-related, real-world issues in various emerging, ongoing, and underrepresented areas. Registration is strongly encouraged in order to receive important communication regarding the symposium. Assistant Professor of Biomedical Informatics and Radiology, Director of the Machine Learning and Healthcare Lab and John C. Malone Associate Professor of Computer Science, Statistics, and Public Health, Johns Hopkins University; Founder and CEO, Bayesian Health, - Assistant Professor of Pathology, Stanford, Associate Professor of Medicine, and of Biomedical Data Science, Stanford, - Associate Professor of Radiology and, by courtesy, of Neurosurgery; Stanford, Center for Artificial Intelligence in Medicine & Imaging, Session 1: Democratizing Healthcare With AI (Video), Session 2: Regulatory Considerations for AI in Healthcare (Video), Session 3: Technical Advancements in Clinical Machine Learning - What's New in 2020 (Video), Fireside Chat: AI as the Fourth Industrial Revolution (Video), Session 4: Bridging Innovation to Application (Video), Session 5: Fairness in Clinical Machine Learning (Video). Stanford AIMI 2020 Symposium (Virtual) Advancements of machine learning and AI into all areas of medicine are now a reality and they hold the potential to transform healthcare and open up a world of incredible promise for everyone. The seminar series is open and free to everyone in the Stanford community\, as well as anyone from the surrou nding community\, companies or institutions. Location Virtual Livestream - The 2021 PHIND Symposium is … Overview; Agenda; Speakers; Logistics; Recordings; Agenda . Attendees may also pre-submit submit questions and comments prior to the symposium here. The Slido chat box will be located on the right side of the livestream page and can also accessed our Slido page or by using event code #AIMI20 at slido.com during the event. Join us for the opportunity to explore neurologic exams for generalists, point-of-care ultrasound, improving your bedside teaching with the five minute bedside moment, sports medicine for the generalist, and much more. © Stanford University, Stanford, California 94305. . Can Computers Make Physicians Smarter? Online . Registered attendees will receive a link on the morning of the symposium that will allow access to the Zoom meeting rooms. The 2020 AIMI Symposium is a virtual event that will be livecast on August 5, 2020 from 8:30am to 4:30pm PDT. You may also subscribe to our YouTube channel to receive a notification. Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI) Symposium, August 5, 2020 . Women in Data Science (WiDS) Worldwide conference. We will be using the Slido platform for discussion and Q&A during the symposium. Online. Academic Appointments. Find Daphne Koller online. This all-day event will showcase the exciting PHIND work that is going on campus-wide. Chaudhari is the Associate Director of Research and Education at the Stanford AIMI Center and is an internal advisory board member of the Precision Health and Integrated Diagnostics Center. Wisdom of the Crowd or Tyranny of the Mob? The livestream will be accessible on the AIMI Symposium livestream page during the event and links to the recorded presentations will also be available on the website a few weeks after the event. We encourage attendees to post questions and comments and also upvote and respond to posts. Monday, March 8, … The featured presentations will be from current PHIND investigators. Please email us at aimicenter@stanford.edu if you need assistance before or during the symposium. Saturday, February 13, 2021. You should receive a confirmation email shortly after submitting your registration. August 5, 2020 at 8:30am-4:30pm PDT Click on the session title to view the video recording. Pre-submitted questions and comments will be automatically posted in the live chat room during the relevant session so that attendees can respond and upvote during the symposium. Assistant Professor (Research) (By courtesy), Department of Biomedical Data Science. Our 6th annual Stanford 25 Skills Symposium will be held Oct 23 & 24, 2020 at Stanford University School of Medicine. Stanford has established the AIMI Center to develop, evaluate, and disseminate artificial intelligence systems to benefit patients. Join us for the annual Precision Health & Integrated Diagnostics Symposium. June 8, 2020 - 5:00pm. Affiliate Faculty; Industry Affiliates; Career & Internship Opportunities; Subscribe; The AIMI Center. Conference / Symposium. Conference / Symposium. Menu. June 5, 2020 - 1:00pm. Sponsored by the Stanford Center for Artificial Intelligence in Medicine and Imaging, the 2020 AIMI Symposium is a virtual conference convening experts from Stanford and beyond to advance the field of AI in medicine and imaging. We will have an optional speed-networking breakout session during the lunch break for attendees looking to connect with other attendees. Jonathan Chen - Assistant Professor of Medicine, Stanford, Kristen Yeom (Moderator) - Associate Professor of Radiology and, by courtesy, of Neurosurgery; Stanford. The 2020 AIMI Symposium is a virtual event that will be livecast on August 5, 2020 from 8:30am to 4:30pm PDT. Zoom . We encourage attendees to post questions and comments and also upvote and respond to posts. As Associate Chair for Information Systems and a Medical Informatics Director for Stanford Health Care, he is responsible for the computer technology that supports the Stanford Radiology practice. Will AI/ML Amplify Our Capabilities or Exacerbate Our Problems? Stanford, CA 94304. aimicenter@stanford.edu Chaudhari is the Associate Director of Research and Education at the Explore Stanford Medicine. The livestream will be accessible on the AIMI Symposium livestream page during the event and links to the recorded presentations will also be available … The breakout session will not be recorded. Stanford AIMI Symposium 2020 (Aug 5th) Videos The 2020 AIMI Symposium is a virtual conference convening experts from Stanford and beyond to advance the field of AI in medicine and imaging. Continuing medical education (CME) credits are not available for the 2020 AIMI Symposium. Sponsored by the Stanford Center for Artificial Intelligence in Medicine and Imaging, the 2020 AIMI Symposium is a virtual conference convening experts from Stanford and beyond to advance the field of AI in medicine and imaging. 1701 Page Mill Road. Save the Date for our 2020 symposium! NorCal Mini Symposium on Climate and Pandemic Resilience. Assistant Professor (Research), Radiology . Only attendees who agree to be professional at all times and are comfortable with keeping their microphone and video on during the activity should participate in this event. Assistant Professor of Biomedical Data Science,  Associate Director of Data Science, Center for Artificial Intelligence in Medicine and Imaging, Stanford, Professor of Biomedical Data Science & Radiology, Director of Biomedical Informatics, Stanford, Professor of Pediatric Radiology, Vice Chair for Education & Clinical Operations, Stanford, Margaret Hart Surbeck Distinguished Professor in Advanced Imaging & Vice Chair for Research, Department of Radiology & Biomedical Imaging, Professor of Orthopedic Surgery & Bioengineering & Therapeutic Sciences, UCSF, - Professor of Radiology; Associate Director of Image Acquisition, Center for Artificial Intelligence in Medicine and Imaging, Stanford, Program Manager, Facebook AI Research Team, Director, QTIM lab and Center for Machine Learning at the Athinoula A. Martinos Center for Biomedical Imaging, Associate Professor of Radiology, MGH/Harvard Medical School, Instructor in Radiology, Associate Director of Research & Education, Center for Artificial Intelligence in Medicine and Imaging, Stanford, Alexander R. Margulis Distinguished Professor and Chair of the Department of Radiology and Biomedical Imaging at UCSF. TEDx@ University at Buffalo, August 30, 2020. We will be using the Slido platform for discussion and Q&A during the symposium. Conference / Symposium. Member, Bio-X. This symposium, meant as a companion to the HIAI (Human Intelligence and Artificial Intelligence) Symposium in April, will take place in the CEMEX auditorium, at Stanford’s Graduate School of Business from 8 a.m. to 7 p.m. (including a closing reception). Our next seminar will host Dr . Health Care . Clark Center Auditorium & Courtyard 318 Campus Drive West, Stanford, CA 94305 AIMI Symposium 2020 - YouTube. Artificial Intelligence and Machine Learning in Medicine: Why, What, and How? This conference will cover everything from a survey of the latest machine learning approaches, many use cases in depth, unique metrics to healthcare, important challenges and … Proposals … We hope you can join us and look forward to building the PHIND community together. Participants will be randomly assign to smaller groups by a moderator and  each group will have several minutes to chat in a virtual breakout room. Please email. Please email aimicenter@stanford.edu to request this. Find a doctor; Adult-care doctor; Pediatrician or pediatric specialist; Obstetrician; Clinics & Services; Adult care; Pediatric care; Obstetrics; Clinical trials; Locations; Stanford Health Care; Stanford Children's Health; Emergency Department; Dial 911 in the event of a medical emergency; Explore Health Care . The breakout session will not be recorded. Cancer Research UK\, OHSU Knig ht Cancer Institute and the Canary Center at Stanford\, have been closely monitoring developments relating to the coronavirus (COVID-19) outbreak an d reviewing guidance from government bodies. It’s really extraordinary: these are things that human eyes cannot see, and, in fact, oftentimes, pathologists can’t even agree on the slightest interpretation; so this is a big boost”. There is no registration fee for the 2020 AIMI Symposium. Livestreamed on August 5, 2020 by the Stanford Center for Artificial Intelligence in Medicine and Imaging. If you do not receive a confirmation email, please contact us at aimicenter@stanford.edu so we can update your email address if needed and resend you a confirmation email. The collaboration aims to create smarter imaging devices that will provide more consistent, efficient, and detailed diagnostic information. AIMI Symposium; AIMI Meetings; Engage . This call for proposals aims to stimulate and support research in the field of artificial intelligence in medicine and imaging that distinctively takes advantage of cloud capabilities. Stanford's Review of the 62nd Annual American Society of Hematology Meeting. 8:00 am. Center for Artificial Intelligence in Medicine & Imaging. Matthew Lungren - Associate Professor of Radiology, Co-Director, Center for Artificial Intelligence in Medicine and Imaging, Stanford, Serena Yeung - Assistant Professor of Biomedical Data Science,  Associate Director of Data Science, Center for Artificial Intelligence in Medicine and Imaging, Stanford, Curtis Langlotz - Professor of Radiology & Biomedical Informatics, Director, Center for Artificial Intelligence in Medicine and Imaging, Stanford, Eric Topol - Executive Vice-President & Professor, Molecular Medicine, Scripps Research; Director & Founder, Scripps Research Translational Institute, Daphne Koller - CEO & Founder, insitroJoined by Eric Topol, Bhavik Patel and Sharon Zhou, Bhavik Patel -  Assistant Professor of Radiology, Associate Director of Clinical Evaluation, Center for Artificial Intelligence in Medicine and Imaging, Stanford, Sharon Zhou - PhD Student, Computer Science, Stanford, Democratizing Screening & Diagnostics with AI, Lily Peng - Product Manager, Google Health, Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting, Pranav Rajpurkar - Researcher, Computer Science, Stanford, Democratizing Medical AI with Shared Datasets, David Ouyang - Staff Physician, Cedars-Sinai Medical Center, Democratizing Healthcare with AI in Brazil, Gilberto Szarf - Radiologist; Coordinator for Research in Radiology, Hospital Israelita Albert Einstein, Ozan Oktay - Senior Researcher, Microsoft Research, Daniel Rubin (Moderator) - Professor of Biomedical Data Science & Radiology, Director of Biomedical Informatics, Stanford, Regulation and Therapeutic Development in the Age of Exponential Technologies, M. Khair ElZarrad - Deputy Director, Office of Medical Policy, Center for Drug Evaluation & Research, U.S. Food & Drug Administration, Regulatory Considerations for a Radiology AI Start-up, Russell Stewart - Vice President, Clinical Affairs, Nines, Intention vs Claims - How to Please the Regulators, Hugh Harvey - Managing Director, Hardian Health, David Larson (Moderator) - Professor of Pediatric Radiology, Vice Chair for Education & Clinical Operations, Stanford, Applying Self-supervised Transfer Learning to Medical Vision and NLP Tasks, Jeremy Howard - Founder, fast.ai; Research Scientist, University of San Francisco, Translational AI Methods for Musculoskeletal ImagingSharmila Majumdar - Margaret Hart Surbeck Distinguished Professor in Advanced Imaging & Vice Chair for Research, Department of Radiology & Biomedical Imaging, Professor of Orthopedic Surgery & Bioengineering & Therapeutic Sciences, UCSF, Upstream AI: What is it?Shreyas Vasanawala - Professor of Radiology; Associate Director of Image Acquisition, Center for Artificial Intelligence in Medicine and Imaging, Stanford, Machine Learning for Medical Imaging: fastMRI Case StudyNafissa Yakubova - Program Manager, Facebook AI Research Team, Collaborative Learning: Improving Model Robustness Without the Need for Data Sharing, Jayashree Kalpathy-Cramer - Director, QTIM lab and Center for Machine Learning at the Athinoula A. Martinos Center for Biomedical Imaging, Associate Professor of Radiology, MGH/Harvard Medical School, Akshay Chaudhari (Moderator) - Instructor in Radiology, Associate Director of Research & Education, Center for Artificial Intelligence in Medicine and Imaging, Stanford, Andrew Ng - Adjunct Professor, Stanford, CEO, Landing AI, Co-founder, Coursera, Judy Gichoya - Assistant Professor of Radiology, Emory University School of Medicine, Bridging Innovation to Application: Covid-19 and Beyond, Vivian Lee - President, Health Platforms, Verily, Bridging Innovation to Application - Academic Health System Perspective, Christopher Hess - Alexander R. Margulis Distinguished Professor and Chair of the Department of Radiology and Biomedical Imaging at UCSF, AI Transferring Natural Language Into Actionable Knowledge, Imon Banerjee - Assistant Professor of Biomedical Informatics and Radiology, Emory University School of Medicine, Suchi Saria - Director of the Machine Learning and Healthcare Lab and John C. Malone Associate Professor of Computer Science, Statistics, and Public Health, Johns Hopkins University; Founder and CEO, Bayesian Health, Jeanne Shen (Moderator) - Assistant Professor of Pathology, Stanford, AI, Medicine, & Bias: Diversifying Your Dataset is Not Enough, Rachel Thomas - Director, Center for Applied Data Ethics, USF; Co-Founder of fast.ai, Upgrading the Product Development Process to Foster ML Fairness and Ethical AI, Donald Martin - Senior Technical Program Manager, Google, Judy Gichoya - Assistant Professor of Radiology, Emory University School of Medicine, The Price of Fairness in Clinical Risk Prediction, Nigam Shah - Associate Professor of Medicine, and of Biomedical Data Science, Stanford. Stanford Radiology’s Center for Artificial Intelligence in Medicine and Imaging (AIMI Center) is at the forefront of the revolution in medical imaging and has partnered with GE Healthcare to accelerate AI applications that enhance imaging device performance. 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