most citedAn AI Co-Data-Scientist for Prioritizing Candidate Biomarkers from Wearable Sensor Data

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cs.AI20262 cited

An AI Co-Data-Scientist for Prioritizing Candidate Biomarkers from Wearable Sensor Data

Yubin Kim, Salman Rahman, Samuel Schmidgall +33

Wearable devices generate continuous physiological and behavioral data, but converting these signals into clinically reviewable biomarker hypotheses remains labor-intensive. We int…

cs.AI2026

WEQA: Wearable hEalth Question Answering with Query-Adaptive Agentic Reasoning

Yuwei Zhang, Tong Xia, Bianca Emmerich +5

Language models are remarkably capable at medical question answering, in some cases surpassing the accuracy of general physicians. However, answering questions about wearable healt…

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

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.AI20262 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

TeamBench: Evaluating Agent Coordination under Enforced Role Separation

Yubin Kim, Chanwoo Park, Taehan Kim +9

Agent systems often decompose a task across multiple roles, but these roles are typically specified by prompts rather than enforced by access controls. Without enforcement, a team…