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)