Symposia
- Date:
- Time: -
- Track: Research
- CME/CE: 1.0
Developed by the Research Committee and the Cancer and Aging Special Interest Group
Co-Moderators: Kah Poh Loh, MD, MS, FASCO, FACCC, AGSF & John A. Batsis, MD, AGSF
This symposium will target clinicians, researchers and other interprofessional members, including a broad audience of any health professional from any discipline who has or is interested in learning either how to work collaboratively with computer scientists or engineers, and potential examples as to how to integrate such technologies to improve patient care. Learning Objectives: (1) discuss the implementation and evaluation of AI-based cognitive assessments in detecting cognitive and frailty decline; review basic terminology related to Artificial Intelligence (AI) and GenAI in healthcare and the barriers and facilitators of using these in clinical care of the older adult with cancer; and evaluate the utility of artificial intelligence–equipped video surveillance for detecting falls in assisted living settings.
Use of Machine Learning Models in Free-Living Accelerometry Data to Predict Cognitive and Frailty Decline in Community-Dwelling Older Adults
Megan Huisingh-Scheetz, MD, MPH
Differential Assessment of AI/ML and Generative AI/ML (LLMs) Performance in Predicting Nutritional and Functional Status in Clinical Notes in Geriatric Oncology
Melody K. Schiaffino, PhD, MPH
The Validity of Artificial Intelligence to Detect Falls Among Persons with Dementia
Sheryl Zimmerman, PhD