Core curriculum · Module 3 of 3
AI in Clinical Practice
Put Modules 1 and 2 together: where AI is used in radiology and medicine, whether it works and is worth it, what it does to your own judgment, who is responsible, and where the field is heading.
- Core question: How does AI affect my clinical practice?
- 5 lessons
- 15-20 min each
- Builds on Modules 1-2
Lessons
This module applies Modules 1 and 2 to real clinical decisions and human-AI collaboration.
- 3.1
AI in Radiology & Medicine
AvailableThe AI tools that act on one CT scan, the four reading designs, AI across medicine (eyes, skin, pathology, ECGs, sepsis alerts, scribes), generative AI and its risks, and the AI Tool Tracker.
- 3.2
Does It Work, and Is It Worth It?
AvailableThe ladder of evidence from accuracy to patient outcomes, why tools fail at new hospitals, and weighing benefits against costs.
- 3.3
Thinking With AI
AvailableAutomation bias, never-skilling, deskilling and mis-skilling, the three-phase approach to learning with AI, and habits that keep your judgment your own.
- 3.4
Responsibility & Patients
AvailableWho is responsible when AI is used, fairness and bias, privacy, and how to talk with patients about AI.
- 3.5
The Future of AI in Radiology
AvailableWhy AI has not replaced radiologists, where the technology is heading, how the job may change, and the skills that will last.
Where this module fits
Three modules, then the assessment. Research Lab and Leadership are optional tracks you can open at any time.