---
id: 20260331-T0-01
title: "Doctorina MedBench：首个基于Agent的医疗AI评估框架"
title_en: "Doctorina MedBench: first end-to-end evaluation framework for agent-based medical AI"
url: https://ai.daily.yangsir.net/daily/20260331-T0-01
issue_date: 2026-03-31
publish_date: 2026-03-30T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2603.25821
---

# Doctorina MedBench：首个基于Agent的医疗AI评估框架

arXiv发布Doctorina MedBench研究，提出首个端到端Agent医疗AI评估框架。该框架通过模拟真实医患交互进行评估，不同于传统标准化测试方法。研究解决了医疗AI在真实场景中的应用效果验证问题，为开发可靠的医疗AI系统提供了新工具。

## English Version

**Doctorina MedBench: first end-to-end evaluation framework for agent-based medical AI**

arXiv published Doctorina MedBench research, introducing the first end-to-end evaluation framework for agent-based medical AI. The framework simulates realistic physician-patient interactions, unlike traditional standardized test methods. The research addresses validation challenges for medical AI in real-world scenarios, providing a new tool for reliable system development.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2603.25821)

**详情页**：https://ai.daily.yangsir.net/daily/20260331-T0-01

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