Preparing Clinicians for Diagnostic Artificial Intelligence: Tools, Teammates, and Teaching
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Preparing Clinicians for Diagnostic Artificial Intelligence: Tools, Teammates, and Teaching
Session moderated by Bob Wachter
As artificial intelligence (AI) transforms the healthcare landscape, who will train clinicians and trainees on the responsible and safe use of this technology? How will trainees’ clinical reasoning skills be impacted by AI – and will it help or hinder their learning? In this special Grand Rounds, Cornelius James, MD, from the University of Michigan, will explore the intersection of diagnostic AI and clinical practice, focusing on how AI tools can enhance diagnostic reasoning. James will highlight how AI is being integrated into diagnostic reasoning curricula to prepare the next generation of healthcare professionals to work effectively alongside AI systems.
Speaker: Cornelius James, MD, assistant professor in the Departments of Internal Medicine, Pediatrics, and Learning Health Sciences at the University of Michigan, has held various educational roles, including director of the U-M Medical School's evidence-based medicine curriculum and associate program director for the U-M Internal Medicine Residency. James has received numerous accolades, including the highest teaching honor at the U-M Medical School and recognition as a National Academy of Medicine Scholar in Diagnostic Excellence in 2021. His research focuses on enhancing clinical reasoning with AI and promoting the equitable implementation of safe, effective digital health tools in clinical practice.
By Phone (for higher quality, dial a number based on your current location):
US: +1 669 900 6833 or +1 213 338 8477 or +1 669 219 2599
International numbers available: https://ucsf.zoom.us/u/abt1xcyvsc
Add to Calendar2024-12-03 20:00:002024-12-03 21:00:00Preparing Clinicians for Diagnostic Artificial Intelligence: Tools, Teammates, and Teaching
Preparing Clinicians for Diagnostic Artificial Intelligence: Tools, Teammates, and Teaching
Session moderated by Bob Wachter
As artificial intelligence (AI) transforms the healthcare landscape, who will train clinicians and trainees on the responsible and safe use of this technology? How will trainees’ clinical reasoning skills be impacted by AI – and will it help or hinder their learning? In this special Grand Rounds, Cornelius James, MD, from the University of Michigan, will explore the intersection of diagnostic AI and clinical practice, focusing on how AI tools can enhance diagnostic reasoning. James will highlight how AI is being integrated into diagnostic reasoning curricula to prepare the next generation of healthcare professionals to work effectively alongside AI systems.
Speaker:
Cornelius James, MD, assistant professor in the Departments of Internal Medicine, Pediatrics, and Learning Health Sciences at the University of Michigan, has held various educational roles, including director of the U-M Medical School's evidence-based medicine curriculum and associate program director for the U-M Internal Medicine Residency. James has received numerous accolades, including the highest teaching honor at the U-M Medical School and recognition as a National Academy of Medicine Scholar in Diagnostic Excellence in 2021. His research focuses on enhancing clinical reasoning with AI and promoting the equitable implementation of safe, effective digital health tools in clinical practice.
How to Attend
On Zoom:
Join from a PC, Mac, iPad, iPhone or Android device:
https://ucsf.zoom.us/j/97645766587?pwd=OpxbkAwpMENJgLN8xpPHofjwzHD8JH.1
Webinar ID: 976 4576 6587
Passcode: 364678
By Phone (for higher quality, dial a number based on your current location):
US: +1 669 900 6833 or +1 213 338 8477 or +1 669 219 2599
International numbers available: https://ucsf.zoom.us/u/abt1xcyvsc
The session will be recorded for later play. See all past recordings.
Department of MedicineAmerica/Los_Angelespublic
