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Stanford University

Evaluations of AI Applications in Healthcare

Stanford University via Coursera


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.


  • 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


4.5 rating at Coursera based on 134 ratings

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