Clinical Practice in the Age of AI, Wearables, and Robotics

Catalog Description:  

AI, wearables, and robotics are no longer on the horizon of medicine — they are already embedded in clinical practice. This elective prepares medical students to work confidently and critically across all three domains: AI-assisted decision-making, predictive modeling, generative AI, and clinical decision-support systems; sensor-based data streams, remote monitoring, and continuous physiologic data; and surgical, rehabilitation, social, and care robotics. Interpretability, bias, health equity, ethics, regulation, and implementation barriers are woven throughout. Delivered primarily asynchronously in a flipped classroom model with live expert panels, case discussions, and group presentations as anchor points, every module includes a core path and an optional "go deeper" extension for students who want to engage more technically or analytically.

Canvas Site      Syllabus

Note: Contact the Course Coordinator for any syllabi for previous years. 

View site addresses by clicking on the site name below or visiting the site codes table.

Sites: 

Typical weekly schedule/Delivery Mode:  Mon – Fri, 8:00 am – 4:30 pm

Direct patient care:  No

Consent Requirement: Open to student scheduling

Grading Scale: P/N

Allow repetition of course: No

Course equivalency: N/A