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. Please email us at aimicenter@stanford.edu if you need assistance before or during the symposium. Will AI/ML Amplify Our Capabilities or Exacerbate Our Problems? Explore Stanford Medicine. You may also view the playlist on our YouTube channel. It basically gives the probability of what’s the transcriptome signature. 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. 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. Monday, March 8, … Please email. Conference / Symposium. Affiliate Faculty; Industry Affiliates; Career & Internship Opportunities; Subscribe; The AIMI Center. Online . 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. On Wednesday, August 22, 2018, Presence will launch its AiMIE Symposium (Artificial Intelligence in Medicine: Inclusion and Equity).. 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. Continuing medical education (CME) credits are not available for the 2020 AIMI Symposium. We are able to provide proof of symposium registration for registered attendees, if needed. 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. 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. We hope you can join us and look forward to building the PHIND community together. 8:00 am. Women in Data Science (WiDS) Worldwide conference. Find Daphne Koller online. 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. Livestreamed on August 5, 2020 by the Stanford Center for Artificial Intelligence in Medicine and Imaging. Save the Date for our 2020 symposium! This all-day event will showcase the exciting PHIND work that is going on campus-wide. 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. 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. Location Virtual Livestream - The 2021 PHIND Symposium is … Proposals … Jonathan Chen - Assistant Professor of Medicine, Stanford, Kristen Yeom (Moderator) - Associate Professor of Radiology and, by courtesy, of Neurosurgery; Stanford. 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. 1701 Page Mill Road. Continuing medical education (CME) credits are not available for the 2020 AIMI Symposium. © Stanford University, Stanford, California 94305. Participants will need to have Zoom installed on their computer or phone and be logged into their Zoom account in order to participate. Thursday, February 18, 2021. Stanford Event Calendar: List of organizations Skip to main content. We will be using the Slido platform for discussion and Q&A during the symposium. Our 6th annual Stanford 25 Skills Symposium will be held Oct 23 & 24, 2020 at Stanford University School of Medicine. Zoom . Academic Appointments. Artificial Intelligence and Machine Learning in Medicine: Why, What, and How? Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI) Symposium, August 5, 2020 . Featured; Today; By Date < Current Month > Su Mo Tu We Th Fr Sa; Javascript must be enabled: By Type. 12:00 pm. We will have an optional speed-networking breakout session during the lunch break for attendees looking to connect with other attendees. Can Computers Make Physicians Smarter? Conference / Symposium. 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. Health Care . August 5, 2020 at 8:30am-4:30pm PDT Click on the session title to view the video recording. 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. Professor ( Research ) ( by courtesy ), Department of Biomedical Data Science ( WiDS ) Worldwide conference the... Probability of what ’ s the transcriptome signature, Facebook, Images, YouTube and more on IDCrawl the! 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