Clinical Decision Support Systems
by Coursera
Learn how machine learning models are evaluated in clinical decision support systems, including validation, bias, explainability, and privacy risks.
Why this course
- Covers critical topics like model calibration, bias, and fairness in clinical AI
- Introduces decision curve analysis for assessing real-world clinical impact
- Discusses explainability and human-centered design in medical AI systems
- Addresses emerging threats like adversarial attacks and privacy risks
