Introduction to AI in Clinical Care

Session Learning Objectives:

  • Provide technical background on common AI use cases already in the market
  • Describe the strengths and weaknesses of tools
  • Current state of the art for generative AI and large language models
  • Describe what is real and not real capabilities of current systems
  • Describe current research that may be introduced in the short-term future
  • Provide guidance on how to evaluate AI products for common use cases

Presented by: Michael Gao, MS Data Scientist, The Duke Institute for Health Innovation (DIHI)