间隙
结肠镜检查
危险分层
计算机科学
边疆
医学物理学
临床实习
诊断试验
医学
人工智能
数据科学
内科学
历史
结直肠癌
急诊医学
考古
家庭医学
癌症
泌尿科
作者
James A. Diao,Joseph C. Kvedar
标识
DOI:10.1038/s41746-022-00678-7
摘要
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 npj Digital Medicine, 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.
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