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Overview
Advances in AI may enable new ways to deliver high quality healthcare at lower cost. In this course, we will discuss several aspects of the clinical AI lifecycle, with an emphasis on real-world principles and experiences. Sessions will be led by members of Stanford’s Partnership for AI-Assisted Care (PAC) and affiliates.
Instructors

PhD, Faculty

MD, PhD, Faculty

PhD, Faculty

MD, MPH, Faculty

MD, Faculty

Grad Student

Grad Student
Organizers


Schedule
9/29/23 | Alan Luo | ICU Clinical Behavioral Atlas | |
10/6/23 | Amit Kaushal, MD, PhD | Project Selection and Interdisciplinary Collaboration | |
10/13/23 | Kevin Schulman, MD | Business Models for Machine Learning | |
10/20/23 | Paul Tang, MD | Harnessing AI at the Point-of-Care: A Glimpse into the Physician's Mental Model | |
10/27/23 | Zane Durante | Technical evaluation of model performance | |
11/3/23 | Dev Dash, MD, MPH | Deploying AI in the Clinical Setting | |
11/10/23 | Roger Bohn, PhD | AI and Information Overload | |
11/17/23 | Ehsan Adeli, PhD | Modeling and Mitigating Bias in Medical Studies | |
11/24/23 | Thanksgiving | ||
12/1/23 | Project Presentations #1 | ||
12/8/23 | Project Presentations #2 | ||
12/15/23 | Finals |
Grading
1 unit: weekly seminar attendance
2-4 units: project participation