用于内镜诊断的计算机辅助系统
Computer copilots for endoscopic diagnosis.
作者信息
Diao James A, Kvedar Joseph C
机构信息
Harvard Medical School, Boston, MA, USA.
出版信息
NPJ Digit Med. 2022 Sep 1;5(1):129. doi: 10.1038/s41746-022-00678-7.
Abstract
Artificial intelligence (AI) tools for endoscopy are now entering clinical practice after demonstrating substantial improvements to polyp detection on colonoscopy. As this technology continues to mature, efforts to develop and validate a new frontier of possibilities—including diagnostic classification, risk stratification, and clinical outcomes assessment—are now underway. In , scientists from Cosmo AI/Linkverse and collaborators report an extension to the first FDA-cleared AI tool for colonoscopy that goes beyond polyp detection to enable video-based diagnostic characterization.
摘要
在内镜检查中，人工智能（AI）工具在显著提高结肠镜检查中息肉检测能力后，现已进入临床实践。随着这项技术不断成熟，目前正在努力开发和验证新的前沿可能性，包括诊断分类、风险分层和临床结果评估。在本文中，Cosmo AI/Linkverse的科学家及其合作者报告了首个获得美国食品药品监督管理局（FDA）批准的用于结肠镜检查的AI工具的扩展，该扩展超越了息肉检测，能够进行基于视频的诊断特征分析。
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