AI Agent · Google · Gemini · Google Research
SymptomAI: Towards a conversational AI agent for everyday symptom assessment
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★ Tier-1 Source
Joseph Breda, Student Researcher, and Jake Sunshine, Research Scientist, Google Research.
Key facts
- In their recent research paper, “ SymptomAI: Towards a Conversational AI Agent for Everyday Symptom Assessment ”, they share results from a randomized national scale study (n=13,917) in which consented
- Joseph Breda, Student Researcher, and Jake Sunshine, Research Scientist, Google Research
- Wearable biosignals in the days leading up to a SymptomAI conversation relative to a historic average from a baseline period across day -30 to -15 for the infected ( red ) and baseline ( gray )
- The team found that the clinicians preferred the DDx generated by SymptomAI over those provided by the other clinicians in over 50% of the cases
Summary
The team present a first-of-its-kind research of AI for differential diagnosis and symptom checking through a national-scale study. A large proportion of clinical diagnoses can be derived from language-based interviews alone. However, existing evaluations have largely relied on curated, highly detailed and sometimes synthetic patient vignettes, which may not reflect real world experience and clinical presentation variability. To address this gap, they conduct an in-situ comparative research study of a set of experimental conversational prototype AI agents designed to explore how conversational AI might conduct end-to-end symptom interviews and differential diagnostic assessment for research benchmarking purposes. In their recent research paper, “ SymptomAI: Towards a Conversational AI Agent for Everyday Symptom Assessment ”, they share results from a randomized national scale study (n=13,917) in which consented research participants interact with one of five possible Gemini Flash 2.0 SymptomAI agents.