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Leveraging Natively Multimodal Large Language Models to Improve Fall Risk Reduction Among Older Adults: Proposed Model Design
Justin Do;
Vivaswat Suresh;
Lily Zhang;
Bharvi M. Chavre;
Jeremy Cha;
Robert Pugliese
ABSTRACT
This research letter proposes a novel model design leveraging natively multimodal large language models to identify fall risks and generate visualizations of recommended environmental modifications, aiming to improve the accessibility and impact of personalized fall prevention advice for older adults.
Citation
Please cite as:
Do J, Suresh V, Zhang L, Chavre BM, Cha J, Pugliese R
Leveraging Multimodal Large Language Models for Fall Risk Reduction in Older Adults in the Home: Proposed Model Design
