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Performance of Clinical AI System and Physicians and Frontier Language Models in primary care diagnostics

Paper recorded by Signals 4 on 2026-09-08 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-08 on arXiv · recorded by Signals 4 on 2026-09-09

Category: cs.AI · 人工智能 · first seen 2026-09-09

Abstract

Clinical AI evaluation should encompass diagnosis and management after adaptive information gathering. We compared Doctorina, eight physicians and four standalone frontier language models in 150 synthetic Polish-language primary-care consultations. Doctorina achieved 82.0% Top-1 concordance versus 57.0% for physicians (difference, 25.0 percentage points; 95% confidence interval, 17.7-32.7) and 97.

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#157 most recent of 300 cs.AI papers we have recorded · ↑ newer: ThinkPrior: Zero-Rollout Difficulty Priors for Cold-Start Prompt Selec · ↓ older: Time-Varying Data as Sheaves: an Invitation to Narratives
Cite this page: Performance of Clinical AI System and Physicians and Frontier Language Models in primary care diagnostics: the #157 most recent of 300 cs.AI papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/performance-of-clinical-ai-system-and-physicians-and-frontier-language-models-in.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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