BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Santa Clara Law - ECPv5.16.1.1//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Santa Clara Law X-ORIGINAL-URL:https://law.scu.edu X-WR-CALDESC:Events for Santa Clara Law BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20210314T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20211107T090000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20210414T120000 DTEND;TZID=America/Los_Angeles:20210414T130000 DTSTAMP:20240328T220421 CREATED:20210318T170301Z LAST-MODIFIED:20210319T171645Z UID:596495-1618401600-1618405200@law.scu.edu SUMMARY:AI/ML for Clinical Decision Making: Should Patients Be Informed? DESCRIPTION:The High Tech Law Institute and the Markkula Center for Applied Ethics are pleased to host Dr. Charles Binkley\, Director of Bioethics program at the Markkula Center\, for a conversation discussing AI/ML for Clinical Decision Making. \nThe deployment of AI/ML clinical decision support tools into various medical specialties raises multiple ethical concerns\, one of which is whether patients should be informed when these tools are used to make a diagnosis or prescribe a treatment. This presentation will examine the existing ethical and legal requirements for informing patients and apply them to AI/ML systems used for clinical decision making. \nREGISTER ONLINE \nDr. Charles Binkley is an experienced cancer surgeon\, bioethicist\, and physician leader. Dr. Binkley attended Georgetown University School of Medicine and completed his surgery training at the University of Michigan where he was awarded an NIH fellowship in pancreatic cancer research. Prior to joining the Markkula Center for Applied Ethics he practiced liver and pancreas cancer surgery and directed the clinical ethics consultation service at Kaiser Permanente in San Francisco\, California. His work is focused on AI clinical decision support systems\, particularly the need to inform patients\, shared machine-physician agency\, and assigning moral responsibility for AI guided clinical decisions. He also directs the Health Care Ethics Internship and Honzel Fellowship in Health Care Ethics at Santa Clara University. \nThis event is part of the IT\, Ethics\, and Law lecture series\, co-sponsored by the Markkula Center for Applied Ethics and the High Tech Law Institute. URL:https://law.scu.edu/event/ai-ml-for-clinical-decision-making-should-patients-be-informed/ LOCATION:Online only\, 500 El Camino Real\, Santa Clara\, CA\, 95050\, United States CATEGORIES:High Tech Law GEO:37.3499438;-121.9406449 X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Online only 500 El Camino Real Santa Clara CA 95050 United States;X-APPLE-RADIUS=500;X-TITLE=500 El Camino Real:geo:-121.9406449,37.3499438 END:VEVENT END:VCALENDAR