SCPKU Summer Seminar 2026: AI-Assisted Healthcare

Program Overview: Today, anyone can train a near state-of-the-art machine learning model on a laptop, a dataset, and a few lines of code. For many applications, model building is no longer the rate-limiting step in using AI and machine learning to improve human health. In this course, we examine other areas that need to be addressed, from choosing the right problem to moving technical advances into the clinical setting and ensuring we are actually improving outcomes that matter. This course is geared toward anyone looking to use AI and machine learning to make a real-world, positive impact on human health.

Program Dates: August 3 - 20, 2026

Course Prerequisites and Student Eligibility Criteria:

This course is open to undergraduate, graduate, and professional students from across disciplines who are interested in applying AI and machine learning to improve human health. Students from technical, clinical, and related fields are welcome. While there are no strict prerequisites, familiarity with basic concepts in machine learning or artificial intelligence (e.g., an introductory AI or ML course) is recommended. A general understanding of programming and data analysis will be helpful, but the course is designed to accommodate students with diverse backgrounds who are motivated to engage in interdisciplinary, real-world impact.

Instructor Details: Ehsan Adeli, PhD, is an Assistant Professor of Psychiatry and Behavioral Sciences, by courtesy, of Biomedical Data Science, and of Computer Science at Stanford University. He directs the Stanford Translational Artificial Intelligence (STAI) in Medicine and Mental Health Lab. Dr. Adeli also serves as Co-Director of both the Stanford AI for Mental Health Initiative and the Stanford AGILE Consortium (Advancing technology for frailty & longevity). His group focuses on identifying technological gaps in clinical settings and developing AI-driven solutions to bridge them, with an emphasis on improving diagnosis, treatment, and patient outcomes, particularly in neurodegenerative and neuropsychiatric diseases.

Covered Expenses: SCPKU will cover participating students’ lodging and meals for the duration of the seminar, and class-organized travel expenses within China. Students will be responsible for visa and passport application fees, flights to/from Beijing, pre-departure immunization costs, health insurance, and all other incidental expenses. Note that withdrawal after the cancellation deadline will incur a fee.