THE LEARNING PATH
From first principles
to clinical practice.
Eight modules to explore in order or by topic. Every module is open, so you can begin wherever you like.
Not sure where to begin?
Try the knowledge checkSTAGE 01
Understand AI
The ideas behind the tools.
- 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.
Open module - MODULE 2
How AI Learns (and Why It Sometimes Gets It Wrong)
A practical look at how machine learning models develop, where they can go astray, and how data quality shapes clinical performance.
Open module
STAGE 02
Explore the clinical context
Real applications, limitations, and responsibilities.
- MODULE 3
How AI Performs in Clinical Practice: Real Cases, Real Limits
Evidence-based walkthroughs of landmark clinical AI studies, revealing how success depends on data, labels, validation, and context.
Open module - MODULE 4
Trustworthy AI: Ethics, Risk, and Regulation in Clinical Practice
A guide to understanding ethical principles, identifying bias, and navigating the regulatory and professional responsibilities clinicians share when using AI.
Open module
STAGE 03
Evaluate and govern
Evidence, evaluation, and institutional policy.
- MODULE 5
Evaluating & Validating AI Tools in Clinical Practice
How to critically appraise AI vendor claims, interpret performance metrics, understand regulatory clearance, and ask the right questions before adopting any AI tool.
Open module - MODULE 6
AI Governance, Regulation & Institutional Policy
A practical guide to the FDA SaMD framework, EU AI Act, hospital AI governance committees, audit trails, and what institutional policy must cover.
Open module
STAGE 04
Consider its use in practice
Language models, workflows, and implementation.
- MODULE 7
Working with Large Language Models (LLMs) in Clinical Practice
Safe and effective use of ChatGPT/Claude-style tools in healthcare — covering hallucinations, prompt engineering, data protection risks, and institutional governance.
Open module - MODULE 8
AI Implementation & Change Management in Healthcare
How to lead or participate in an AI deployment — covering workflow redesign, stakeholder engagement, staff training, post-deployment monitoring, and when to halt a deployment.
Open module
Keep the path close.
Return to a module when a question comes up. The material is here to revisit at your own pace.
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