Institution
Stanford University School of Medicine
Course snapshot
- Clinical Research
- Unstructured Data
- Medical Billing
- Electronic Medical Record
- Health Care
- Managed Care
- Artificial Intelligence
- Health Informatics
- Clinical Research Ethics
- Responsible AI
This specialization, offered by Stanford University School of Medicine, introduces the fundamentals and applications of AI in healthcare. You will learn how to identify problems AI can solve, analyze its impact on patient safety and research, and apply AI building blocks responsibly. The 5-course series covers healthcare systems, clinical data, machine learning methods, evaluation of AI applications, and culminates in a capstone project using a patient dataset. Includes CME accreditation.
Pricing and availability can change. Always check the provider page.
AI can transform patient care when applied safely and responsibly.— Stanford University School of Medicine
Syllabus
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Introduction to Healthcare
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Introduction to Clinical Data
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Fundamentals of Machine Learning for Healthcare
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Evaluation of AI Applications in Healthcare
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AI in Healthcare Capstone
Instructors & Institution
Instructors
- Matthew Lungren — Stanford University
- Serena Yeung — Stanford University
- Milfred Cho — Stanford University
- Tim Hernandez-Boussard — Stanford University
Career outcomes
Clinical Data Scientist
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See AI-powered jobs →Health Informatics Specialist
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See AI-powered jobs →Medical AI Researcher
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See AI-powered jobs →Healthcare Data Analyst
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See AI-powered jobs →Admission & cost
Includes CME credits (ACCME)
Recent updates
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