Workshop
- Date:
- Time: -
- Track: Research
- CME/CE: 1.0
Sponsored by the Research Committee
Moderator: John A. Batsis, MD, FACP, AGSF, FGSA & Kah Poh (Melissa) Loh, MBBCh BAO, MS, FACCC
This session will focus on emerging research in artificial intelligence and machine learning, including current funding and pilot, and how such technologies can be potentially be translated into clinical care using functional status, cognitive impairment, and oncology care as examples. Learning Objectives: (1) review the implementation and evaluation of novel, AI-based cognitive assessments in detecting cognitive decline; (2) describe the role of the new AI Technology Center to enhance the impact on the independence of older adults, with particular emphasis on interdisciplinary approaches and initiatives supported by the Johns Hopkings AI Collaboratory for Aging Research; (3) review the basic terminology related to Artificial Intelligence (AI) in healthcare and the barriers and facilitators of using AI in clinical care of the older adult with cancer.
| Early Detection of Cognitive Decline Using Voice Assistant Xiaohui Liang, PhD |
| AI Innovations to Change Aging: New Initiatives and Insights from the Johns Hopkins Artificial Intelligence and Technology Collaboratory for Aging Research (AITCs) Peter Abadir, MD, PhD |
| Using Artificial Intelligence in Geriatric Oncology Erika Ramsdale, MD, MS |