arXiv (All)
open access
Performance of Clinical AI System and Physicians and Frontier Language Models in primary care diagnostics
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 5
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Performance of Clinical AI System and Physicians and Frontier Language Models in primary care diagnostics#668080
- Language-dependent diagnostic safety of medical AI systems: a cross-lingual benchmarking and prospective clinical study#293989
- MedCollab: IBIS-Guided Multi-Agent Collaboration with Hierarchical Disease Relation Chains for Clinical Diagnosis#1069752
- Large Language Models in Healthcare and Medical Applications: A Review#376936
- Large language models in healthcare: applications, evaluation frameworks, and governance pathways — a scoping review and multidimensional framework.#1175561
Record · ID 986675
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive