AI and Clinical Reasoning: A New Era of Medical Education and Assessment
Department of Medicine Grand Rounds
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The Gurpreet Dhaliwal Master Clinician Visiting Professorship Lecture
This Grand Rounds will examine how clinical reasoning is taught and evaluated, as well as how artificial intelligence (AI) is poised to reshape both domains. The session will explore strategies to reduce diagnostic error, highlight emerging AI-enabled tools for education and assessment, and outline practical next steps for integrating these methods into training. Attendees will gain a clearer framework for strengthening clinical reasoning in an evolving, technology-enabled landscape.
We established this annual Master Clinician Visiting Professorship to recognize the contributions of our many Master Clinicians in the DOM, especially our newest inductees: Michelle Guy, Raymond Hsu, Vivek Jain, Scott Steiger, and Sunny Wang. The visiting professor delivers the Gurpreet Dhaliwal Lecture in Medicine, named for our legendary clinician-educator and Master Clinician, Gurpreet Dhaliwal.
Speaker:
Verity Schaye, MD, MHPE, is an associate professor of medicine at the NYU Grossman School of Medicine and a hospitalist at Bellevue Hospital. She serves as the assistant dean for education in the clinical sciences and as the assistant director for curricular innovation at NYU’s Institute for Innovations in Medical Education. Schaye is a 2024–2025 National Academy of Medicine Scholar in Diagnostic Excellence.
How to Attend:
In Person:
S-214, Medical Sciences Building (513 Parnassus Avenue)
Lunch will be provided
Or join by phone (for higher quality, dial a number based on your current location):
+1 669 900 6833 US (San Jose)
+1 213 338 8477 US (Los Angeles)
+1 669 219 2599 US (San Jose)
+52 554 161 4288 (Mexico)
New procedures for claiming CME credit:
Please review this informational guide on the updated ways to claim CME credit starting in academic year 25-26.
Add to Calendar2026-04-14 19:00:002026-04-14 20:00:00AI and Clinical Reasoning: A New Era of Medical Education and Assessment
The Gurpreet Dhaliwal Master Clinician Visiting Professorship Lecture
This Grand Rounds will examine how clinical reasoning is taught and evaluated, as well as how artificial intelligence (AI) is poised to reshape both domains. The session will explore strategies to reduce diagnostic error, highlight emerging AI-enabled tools for education and assessment, and outline practical next steps for integrating these methods into training. Attendees will gain a clearer framework for strengthening clinical reasoning in an evolving, technology-enabled landscape.
We established this annual Master Clinician Visiting Professorship to recognize the contributions of our many Master Clinicians in the DOM, especially our newest inductees: Michelle Guy, Raymond Hsu, Vivek Jain, Scott Steiger, and Sunny Wang. The visiting professor delivers the Gurpreet Dhaliwal Lecture in Medicine, named for our legendary clinician-educator and Master Clinician, Gurpreet Dhaliwal.
Speaker:
Verity Schaye, MD, MHPE, is an associate professor of medicine at the NYU Grossman School of Medicine and a hospitalist at Bellevue Hospital. She serves as the assistant dean for education in the clinical sciences and as the assistant director for curricular innovation at NYU’s Institute for Innovations in Medical Education. Schaye is a 2024–2025 National Academy of Medicine Scholar in Diagnostic Excellence.
How to Attend:
In Person:
S-214, Medical Sciences Building (513 Parnassus Avenue)
Lunch will be provided
Zoom option:
https://ucsf.zoom.us/j/97633865272?pwd=sHvIef57IXKYFnBm2lnvQtxUMeRVEn.1
Webinar ID: 976 3386 5272
Passcode: 609641
Or join by phone (for higher quality, dial a number based on your current location):
+1 669 900 6833 US (San Jose)
+1 213 338 8477 US (Los Angeles)
+1 669 219 2599 US (San Jose)
+52 554 161 4288 (Mexico)
International numbers available: https://ucsf.zoom.us/u/ac4WisOf7E
New procedures for claiming CME credit:
Please review this informational guide on the updated ways to claim CME credit starting in academic year 25-26.
Department of MedicineAmerica/Los_Angelespublic
