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Online Course

Evaluations of AI Applications in Healthcare

Stanford University via Coursera

Overview

With artificial intelligence applications proliferating throughout the healthcare system, stakeholders are faced with both opportunities and challenges of these evolving technologies. This course explores the principles of AI deployment in healthcare and the framework used to evaluate downstream effects of AI healthcare solutions.

The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.

Syllabus

AI in Healthcare

Evaluations of AI in Healthcare

AI Deployment

Downstream Evaluations of AI in Healthcare: Bias and Fairness

The Regulatory Environment for AI in Healthcare

Best Ethical Practices for AI in Health Care
-Readings related to best ethical practices for AI in health care

Course Wrap Up

Taught by

Tina Hernandez-Boussard and Mildred Cho

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