CLR-voyance reformulates inpatient reasoning as POMDP with clinician-validated outcome rubrics, yielding an 8B model that outperforms larger frontier models on the authors' new benchmark.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Large real-world deployment found conversational AI agents for everyday symptom assessment more accurate than clinicians and improved by structured interviewing.
citing papers explorer
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CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics
CLR-voyance reformulates inpatient reasoning as POMDP with clinician-validated outcome rubrics, yielding an 8B model that outperforms larger frontier models on the authors' new benchmark.
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SymptomAI: Toward a Conversational AI Agent for Everyday Symptom Assessment
Large real-world deployment found conversational AI agents for everyday symptom assessment more accurate than clinicians and improved by structured interviewing.