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20242026
most citedTowards a Personal Health Large Language Model

13 citations · 29 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Evaluating the Utility of Personal Health Records in Personalized Health AI

Rory Sayres, Kejia Chen, Ayush Jain +19

Patient-managed Personal Health Records (PHRs) promises to empower patients to better understand their health; but information in the record is complex, potentially hindering insig…

cs.AI2026★ 2 cited

SymptomAI: Toward a Conversational AI Agent for Everyday Symptom Assessment

Joseph Breda, Fadi Yousif, Beszel Hawkins +30

Language models excel at diagnostic assessments on curated medical case-studies and vignettes, performing on par with, or better than, clinical professionals. However, existing stu…

cs.AI2026

Towards a General Intelligence and Interface for Wearable Health Data

Girish Narayanswamy, Maxwell A. Xu, A. Ali Heydari +37

While ubiquitous wearable sensors capture a wealth of behavioral and physiological information, effectively transforming these signals into personalized health insights is challeng…

cs.AI2024★ 13 cited

Towards a Personal Health Large Language Model

Justin Cosentino, Anastasiya Belyaeva, Xin Liu +31

In health, most large language model (LLM) research has focused on clinical tasks. However, mobile and wearable devices, which are rarely integrated into such tasks, provide rich,…

cs.AI2024★ 8 cited

Transforming Wearable Data into Personal Health Insights using Large Language Model Agents

Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei +17

Deriving personalized insights from popular wearable trackers requires complex numerical reasoning that challenges standard LLMs, necessitating tool-based approaches like code gene…