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AI system Doctorina outperforms physicians in primary care diagnostics

By PulseAugur Editorial · [1 sources] ·

A new study published on arXiv evaluated the diagnostic and management capabilities of AI systems and human physicians in primary care settings. The AI system Doctorina demonstrated superior performance compared to eight human physicians in diagnostic accuracy and treatment planning across 150 synthetic consultations. Among frontier language models, Kimi K3 showed strong diagnostic performance, while Claude Opus 5 led in management estimates, indicating potential for AI to augment or improve primary care diagnostics and treatment. AI

IMPACT AI systems like Doctorina show potential to significantly improve diagnostic accuracy and treatment planning in primary care, potentially augmenting physician capabilities.

RANK_REASON Research paper published on arXiv detailing AI performance in diagnostics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI system Doctorina outperforms physicians in primary care diagnostics

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Research paper published on arXiv detailing AI performance in diagnostics. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Andy Nkansah, Hanna Plotnitskaya, Stanislau Salavei, Anna Kozlova, Piotr Gibas, Julian Milek, Viktar Harbachou, Aleksey Ropan, Pavel Satalkin ·

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

    arXiv:2609.09070v1 Announce Type: cross 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-c…

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