BeginnerStart here. No prior knowledge assumed.
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Lesson 1
AI in Healthcare Overview
Real applications across diagnosis, drug discovery, clinical administration, and patient engagement.
Lesson 2
Diagnostic AI
Computer vision for radiology, dermatology, and pathology — how AI assists diagnosis and where it performs well.
Lesson 3
AI in Drug Discovery
How AI is accelerating drug development — protein folding (AlphaFold), compound screening, and clinical trial design.
Lesson 4
Clinical Decision Support
AI systems that assist clinicians — drug interaction checks, treatment recommendations, and risk stratification.
Lesson 5
Medical AI Safety
Why medical AI requires higher standards — false positive and negative consequences, validation requirements, and regulatory frameworks.
What is the most common current clinical use of AI?
Why do medical AI systems require more rigorous validation than general AI?
IntermediateBuild on the basics.
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Lesson 1
AI in Medical Administration
Prior authorisation, coding, scheduling, and the administrative burden AI is reducing.
Lesson 2
AI for Patient Communication
Chatbots, virtual health assistants, and AI-powered patient engagement — what works and the limitations.
Lesson 3
Health Data and Privacy
The specific privacy requirements of health data — HIPAA, patient consent, and responsible AI deployment.
Lesson 4
Wearables and Continuous Monitoring
How AI processes data from wearable devices to detect conditions and predict health events.
Lesson 5
AI in Mental Health
Digital therapeutics, AI-assisted therapy, and the specific ethical considerations of AI in mental health contexts.
What is AlphaFold?
What is the primary privacy concern for health AI?
AdvancedDepth, edge cases and strategy.
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Lesson 1
AI Radiology and Medical Imaging
Deep learning in medical imaging — FDA-approved tools, clinical integration, and radiologist collaboration.
Lesson 2
Healthcare AI Regulation
FDA, MHRA, and the regulatory frameworks that govern medical AI — clearance pathways and post-market surveillance.
Lesson 3
AI and Clinical Trials
How AI is improving clinical trial design, patient recruitment, and outcome analysis.
Lesson 4
AI Health Tools for Consumers
Direct-to-consumer health AI — symptom checkers, fitness AI, and the risks of non-medical AI health advice.
Lesson 5
The Future of AI in Medicine
Where medical AI is heading — personalised medicine, autonomous surgery, and the timeline to clinical adoption.
What is clinical decision support?
What is the most important principle in consumer health AI?