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English(EN) Performance of large language models in the optical diagnosis of colorectal polyps

大型语言模型在息肉诊断方面展现潜力，但深度学习框架在分类方面领先

作者 PulseAugur 编辑部 · [3 个来源] ·

一项新研究使用PRIME数据集评估了几种大型语言模型（LLMs）在结直肠息肉分类中的诊断准确性。Claude Opus 4和Gemini 2.5 Pro在区分息肉亚型方面表现出最高的准确性，最接近专家共识，但总体敏感性和特异性未达到临床标准。另外，一个名为PolypVision的深度学习框架被开发用于息肉分类和分割，在公共数据集上取得了高性能，并提供了设备无关的解决方案。 AI

影响 展示了大型语言模型在医学图像分析中的潜力，同时也强调了在临床部署前需要进一步开发和验证。

排序理由 两篇研究论文介绍了AI在医学诊断和分类方面的新应用。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

大型语言模型在息肉诊断方面展现潜力，但深度学习框架在分类方面领先

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两篇研究论文介绍了AI在医学诊断和分类方面的新应用。
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报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Ziyi Wang, Yuanmei Zhang, Baoying Ye, Yimei Jiang, Leilei Gu, Suncheng Xiang ·

    MicroAUNet：基于知识蒸馏的边界增强多尺度融合用于结肠镜息肉图像分割

    arXiv:2511.01143v2 Announce Type: replace-cross Abstract: Early and accurate segmentation of colorectal polyps is critical for reducing colorectal cancer mortality, which has been extensively explored by academia and industry. However, current deep learning-based polyp segmentati…

  2. arXiv cs.AI TIER_1 English(EN) · Joshua C. Vences, William T. Tran, Nikko Gimpaya, Catharine M. Walsh, Rishad J. Khan, Robert Bechara, Asher C. Wiggins, Celine N. Rousan, Kaitlyn V. G. L. Morgado, Angie Ibrahim, Kevin H. M. Kuo, Daniel von Renteln, Alexander Hann, Dennis L. Shung, Micha… ·

    大型语言模型在结直肠息肉光学诊断中的性能表现

    arXiv:2608.07543v1 Announce Type: cross Abstract: Background and Study Aims: Accurate optical diagnosis of colorectal polyps guides resection strategy and surveillance, with multimodal large language models (MLLMs) showing potential for image-based diagnosis. We aimed to evaluate…

  3. arXiv cs.CV TIER_1 English(EN) · Hamidreza Bolhasani, Hamidreza Rastad, Amir Mohammad Akbari, Mohammad Tashakoripour, Parnian Asadollahi, Ata Khodami, Mojgan Forootan ·

    PolypVision：一种用于结直肠息肉分类和分割的三阶段分层深度学习框架

    arXiv:2608.10649v1 Announce Type: new Abstract: Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide, predominantly arising from precancerous polyps. Accurate detection, segmentation, and endoscopic and histological classification of col…

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