Artificial Intelligence and Geriatric Medicine: Innovative Uses of AI to Improve Clinical Care and Health Professions Education

All sessions are listed in Central Time (CT). 

Symposia

  • Date:
  • Time: -
  • Track: Clinical Practice
  • CME/CE: 1.0

Moderator: Amit Shah, MD, AGSF

This symposium will discuss current applications of AI in geriatric medicine and review current and future applications in clinical medicine and education. Learning Objectives: (1) review the current state of the uses of AI for clinical innovations in aging, with examples of projects funded by the NIA/Johns Hopkins Artificial Intelligence and Technology Collaboratory; (2) describe the integration of AI in clinical care models and within learning health systems, including how such models can be used to predict functional status and help in managing polypharmacy and deprescribing; (3) describe the use of AI in geriatrics education, focusing on the use of generative AI in curriculum development, learning, assessment and academic activities; (4) discuss limitations and health equity concerns involved in the implementation of AI technologies in geriatric medicine and education.

Clinical Applications of AI: Experiences from the Johns Hopkins Artificial Intelligence and Technology Collaboratory (AITC) 

Jeremy D. Walston, MD

Clinical Innovation and AI within Learning Health Systems 

Juliessa M. Pavon, MD, MHS

Current and Potential Applications of Generative AI in Medical Education 

Ravishankar Ramaswamy, MD, AGSF