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English(EN) Predicting the risk of colorectal anastomotic leak based on preoperative mapping of the blood supply of the bowel

提出AI系统预测结直肠手术漏风险

研究人员提出了一种利用CT扫描预测结直肠吻合口漏风险的AI驱动系统。本方案论文概述了一个开发工具的框架,该工具分析血管和组织特征以量化漏损的可能性。该系统还包括一个检索相似历史病例的模块,以辅助手术决策,旨在改善手术规划并降低漏损发生率。 AI

影响 该AI框架可以改善结直肠手术的手术规划并降低并发症发生率。

排序理由 这是一篇概述AI系统开发框架的方案论文,而非已发布的产品或带有结果的已完成研究。

在 arXiv cs.IR (Information Retrieval) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

提出AI系统预测结直肠手术漏风险

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这是一篇概述AI系统开发框架的方案论文,而非已发布的产品或带有结果的已完成研究。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Zahra Tabatabaei, Jon Sporring, Mark Bremholm Elleb{\ae}k, Alaa El-Hussuna ·

    基于术前肠系膜血管造影预测结直肠吻合口漏风险

    arXiv:2606.02156v1 Announce Type: cross Abstract: Anastomotic leak remains one of the most serious complications following colorectal cancer surgery, substantially affecting patient outcomes, recovery trajectories, and healthcare costs. Despite advances in imaging technology, cur…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Alaa El-Hussuna ·

    基于术前肠系膜血管造影预测结直肠吻合口漏风险

    Anastomotic leak remains one of the most serious complications following colorectal cancer surgery, substantially affecting patient outcomes, recovery trajectories, and healthcare costs. Despite advances in imaging technology, current preoperative assessment relies only on clinic…