#AIMI21 | Session 3: Fairness, Generalizability & Societal Impact
2021 AIMI Symposium is a virtual conference presented by the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI Center) on August 3, 2021.
Website: https://aimi.stanford.edu
Twitter: https://twitter.com/StanfordAIMI
#StanfordAIMI #AIMI21
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00:00 Session Intro
Curtis Langlotz (Moderator) - Professor of Radiology and Biomedical Informatics, Director, Center for Artificial Intelligence in Medicine and Imaging, Stanford
00:29 Ethical Challenges in Applications of AI to Healthcare
David Magnus - Associate Dean for Research, Director, Center for Biomedical Ethics, Thomas A. Raffin Professor of Medicine and Biomedical Ethics Professor of Pediatrics and, by courtesy, of Bioengineering, Stanford
12:55 The F-ai-rest of Them All: Privacy, Data, and Machine Learning for Health
Marzyeh Ghassemi - Assistant Professor in Electrical Engineering and Computer Science & Herman L.F. von Helmholtz Career Development Professor in the Institute for Medical Engineering Science at MIT; CIFAR AI Chair, Vector Institute
24:34 AI/ML in Healthcare: Legal and Ethical Issues
I. Glenn Cohen - Deputy Dean and James A. Attwood and Leslie Williams Professor of Law, Harvard Law School Faculty Director, Petrie-Flom Center for Health Law Policy, Biotechnology & Bioethics, Harvard Law School
38:19 Reading Race: AI Recognizes Patient's Racial Identity in Medical Images
Judy Gichoya - Assistant Professor of Radiology, Emory
49:09 Panel Discussion and Audience Q&A
Видео #AIMI21 | Session 3: Fairness, Generalizability & Societal Impact канала Stanford AIMI
Website: https://aimi.stanford.edu
Twitter: https://twitter.com/StanfordAIMI
#StanfordAIMI #AIMI21
//
00:00 Session Intro
Curtis Langlotz (Moderator) - Professor of Radiology and Biomedical Informatics, Director, Center for Artificial Intelligence in Medicine and Imaging, Stanford
00:29 Ethical Challenges in Applications of AI to Healthcare
David Magnus - Associate Dean for Research, Director, Center for Biomedical Ethics, Thomas A. Raffin Professor of Medicine and Biomedical Ethics Professor of Pediatrics and, by courtesy, of Bioengineering, Stanford
12:55 The F-ai-rest of Them All: Privacy, Data, and Machine Learning for Health
Marzyeh Ghassemi - Assistant Professor in Electrical Engineering and Computer Science & Herman L.F. von Helmholtz Career Development Professor in the Institute for Medical Engineering Science at MIT; CIFAR AI Chair, Vector Institute
24:34 AI/ML in Healthcare: Legal and Ethical Issues
I. Glenn Cohen - Deputy Dean and James A. Attwood and Leslie Williams Professor of Law, Harvard Law School Faculty Director, Petrie-Flom Center for Health Law Policy, Biotechnology & Bioethics, Harvard Law School
38:19 Reading Race: AI Recognizes Patient's Racial Identity in Medical Images
Judy Gichoya - Assistant Professor of Radiology, Emory
49:09 Panel Discussion and Audience Q&A
Видео #AIMI21 | Session 3: Fairness, Generalizability & Societal Impact канала Stanford AIMI
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