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AIPatient Arena: EHR-grounded evaluation of large language models in end-to-end clinical consultation workflows

Read the original on arXiv AI →

arXiv:2606. 17474v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly considered for use in clinical consultation tasks, yet most medical evaluations remain static, single-turn, or narrowly outcome-based, limiting their ability to reflect the sequential, uncertain, and interactive nature of real-world care.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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