Share:
Peer-Reviewed Publication
JMIR Form Res2026;10e103419.August 19, 2026Journal Article

Patient-Facing AI System for Symptom Guidance Using Simulated Encounters and Physician Review: Analytical Validation Study.

Anil Patwardhan1, Nishant Verma1, Poulami Barman1, Bingyu Mao1, Nan Li1, Paul Varghese1, Vidya Peri1, Lisa Soleymani Lehmann1
1Verily Life Sciences LLC (United States), Dallas, TX, United States.

Abstract

BACKGROUND: Rapid advances in large language models (LLMs) have expanded interest in patient-facing health applications that support symptom assessment and care-seeking decisions. Although AI-enabled symptom-guidance tools could improve patient navigation and recognition of clinically serious conditions, inappropriate recommendations may result in missed needed care or unnecessary escalation. Stru…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.