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Schedule

All times are Eastern Time (ET).
Wednesdays are reserved for self-study (review, reading, and project work).

Week 1​

Mon (1/19)

No class — MLK Day

Tue (1/20)

  • 12:00 PMIntros, ice breaker
  • 12:30 PMCourse overview
  • 1:00 PMFramework for implementing AI
  • 2:00 PMNEDOCS: Linear regression
  • 3:00 PMVizient Mortality Prediction: Logistic regression
  • 3:30 PMAssess articles and discuss presentation

Wed

Self-study
Review materials, complete readings, and begin/continue project work.

Thu (1/22)

  • 12:00 PMeCART: Tree-based methods
  • 1:00 PMVisualDx: NN/CNN
  • 2:00 PMChatGPT: LLM
  • 3:00 PMCursor: Agentic AI

Fri (1/23)

  • 12:00 PMFHIR: APIs
  • 1:00 PMAI Journal Club Student Presentations
  • 3:00 PMGroup assignments and introduction to project

Week 2​

Mon (1/26)

  • 12:00 PMPanel Discussion: Bias and AI Ethics
  • 1:00 PMGuest Presentation: Dr. Gerig - AI Ready Data
  • 2:00 PMGuest Presentation: Dr. Gerig - 30 Apps in 30 Days
  • 3:00 PMGroup projects: Discussion of ideas

Tue (1/27)

  • 12:00 PMCOMeT: Human AI interactions
  • 1:00 PMDAX: User centered design
  • 2:00 PMAI Use in Career in Medicine Panel
  • 3:00 PMRegulations and Commercialization

Wed

Self-study
Consolidate concepts, complete any exercises, and advance your group project.

Thu (1/29)

  • 12:00 PMEpic EMR: Informatics, Data Infrastructure and EHR healthcare related data
  • 1:00 PMEpic Slicer/dicer
  • 2:00 PMGuest Presentation: Mark Iscoe
  • 3:00 PMGuest Presentation: Mark Iscoe

Fri (1/30)

  • 12:00 PMGroup Project: Presentations
  • 2:00 PMFuture of AI in medicine Panel