Clinical AI education for radiology, from foundations to practice.

Explore the curriculum

Two tracks you can take on the side

Open any time, separate from the core lessons. Module 1 is useful background for both.

Research LabFive hands-on notebooks · open now

Build and evaluate models yourself: write code, test a model on real data and run a small project of your own.

  1. Python & GitHub
  2. Data science
  3. ML & imaging
  4. Advanced AI & NLP
  5. Mini project

LeadershipFive steps · overview open, lessons coming

How a tool gets into a department, for the clinical, informatics and quality leads who choose, test and govern it.

  1. Define the need
  2. Select & procure
  3. Validate locally
  4. Implement
  5. Monitor & govern

For educators: assign only what your learners need

Pick lessons and the post-course check, then share one link. Learners see your plan in their progress panel. A live class dashboard is in planning.

Open the plan builder
Frontal chest radiographLateral chest radiograph
Cases come with real, openly licensed images.Chest radiographs: Mikael Häggström, CC0, via Wikimedia Commons
PGY-2 · Body imaging4 weeks · sample
Week 1
  • 1.4 Measuring PerformanceModule 1
Week 2
  • 3.1 AI in Radiology & MedicineModule 3
Week 3
  • 3.2 Does It Work, and Is It Worth It?Module 3
  • 3.3 Thinking With AIModule 3
Week 4
  • Post-course checkGraded
Shared as one linkai2practice/plan/pgy2-body

From the Brief

Changes to the course and notes on AI in radiology, as they happen.

Read the AI2Practice Brief
  • Curriculum reorganized around three core modulesCore curriculum
  • New educator plan builderEducators
  • Radiology AI workflow module liveCore curriculum
  • Notebook 3 adds segmentationResearch Lab

Discussion opens soon

A place to swap rotation plans, ask about cases and suggest new lessons. First channels: Core curriculum, Research Lab, Leadership and Educators.

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