Symposia
- Date:
- Time: -
- Track: Education
- CME/CE: 1.0 - AMA Credits, AAFP Prescribed Credits, ABIM MOC Credits, CMD Management Credits, Nursing Credits, Pharmacy Credits, Social Work Credits
- Q & A: Chat
Moderator: Amit A. Shah, MD
Sponsored by the Education Committee, Ethics Committee, and Tideswell Special Interest Group
Artificial Intelligence (AI) and related technologies will change medicine. This symposium will discuss current applications of AI in geriatric medicine, reviewing current and future applications in clinical medicine, research, and education. Learning Objectives: (1) develop a basic understanding of AI technology, including natural-language processing, large language models, deep learning, neural networks, and machine learning and describe their application in the field of clinical practice, medical education, and research; (2) describe ethical considerations in integrating AI technology in medicine, potential for propagation of biases and the potential impact of these on healthcare inequity and health disparities; (3) discuss examples of and potential uses of AI currently in use in clinical practice; and (4) review examples of and potential uses AI currently in use in medical education and research.
| Potential Clinical Applications of AI in Geriatrics Elissa K. Kozlov, PhD |
| Current and Potential Applications of AI in Medical Education and Research Carmen Quatman, MD, PhD |
| Potential Biases and Ethical Consideration Regarding the Use of AI in Geriatric Medicine Aruna V. Josyula, MD, MPH |
Pharmacy and Social Work credit types are available for live participation only. Attendees may claim a maximum of 26.25 pharmacy contact or social work credit hours.