Course Modules

Module 1: What AI Really Is (And Isn’t): A Clinician’s First Look

An accessible introduction to how AI differs from traditional software and why clinicians must understand its foundations and limitations.

Module 2: How AI Learns (and Why It Sometimes Gets It Wrong)

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A practical look at how machine learning models develop, where they can go astray, and how data quality shapes clinical performance.

Module 3: How AI Performs in Clinical Practice: Real Cases, Real Limits

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Evidence-based walkthroughs of landmark clinical AI studies, revealing how success depends on data, labels, validation, and context.

Module 4: Trustworthy AI: Ethics, Risk, and Regulation in Clinical Practice

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A guide to understanding ethical principles, identifying bias, and navigating the regulatory and professional responsibilities clinicians share when using AI.