Structured conversational strategies—where AI systematically interviews patients before diagnosing—significantly outperform unguided chat-based symptom assessment, suggesting that agentic design patterns matter more than raw model capability for medical applications.
Researchers deployed SymptomAI, a conversational AI system for symptom assessment, to nearly 14,000 Fitbit users and found it diagnosed conditions more accurately than independent clinicians reviewing the same conversations.