AI for Medical Diagnosis
by DeepLearning.AI
AI for Medical Diagnosis is the first course in DeepLearning.AI's AI for Medicine Specialization. It teaches how AI systems are trained to detect diseases from medical imaging — chest X-rays, brain MRIs, dermatology images — and how to evaluate their performance rigorously. Built for healthcare professionals and clinical AI teams, it gives you the technical understanding to evaluate, implement, and supervise AI diagnostic tools in a clinical setting without being a full ML engineer.
What you will learn
- How AI models are trained to identify diseases in chest X-rays and other medical images
- How to measure AI diagnostic performance: sensitivity, specificity, and AUC explained clearly
- The difference between good and misleading AI performance metrics in clinical studies
- How to identify and correct bias in medical AI systems before deployment
- Practical considerations for using AI diagnostic tools safely in clinical practice
Who is this for
- Radiologists and clinicians who want to understand how to evaluate AI diagnostic tools
- Healthcare IT and clinical informatics professionals implementing AI systems
- Medical researchers using AI methods in imaging studies
- Health administrators making purchasing or deployment decisions about diagnostic AI
Why we recommend it
- 1From DeepLearning.AI — the most trusted AI education organisation in the field
- 2First course in the AI for Medicine Specialization — purpose-built for healthcare
- 3Covers real clinical AI evaluation methods, not just theoretical accuracy metrics
- 4Free to audit — university-level depth at no cost
Related courses
Machine Learning Specialization
Andrew Ng, Stanford / DeepLearning.AI
The most trusted machine learning course in the world, taught by the person who built the AI programs at Google and Baidu.
AI in Healthcare Specialization
Stanford University
Built for healthcare workers — covers how AI is changing diagnosis, treatment, and patient care. No coding required.
Natural Language Processing Specialization
DeepLearning.AI
Covers the AI that reads and writes human language — directly useful for writers, marketers, lawyers, and anyone whose job involves text.
AI Foundations for Everyone Specialization
IBM
IBM's 3-course path covering AI basics, applied AI tools, and building AI apps — all without coding. A solid foundation for anyone making a career shift.
AI for Everyone
Andrew Ng / DeepLearning.AI
The best first AI course for anyone. Andrew Ng explains what AI can and cannot do — in plain language, no coding required.
Generative AI for Everyone
Andrew Ng / DeepLearning.AI
Covers ChatGPT, Claude, and image AI — what they are, how to use them at work, and where they fall short.