Explainable endoscopic artificial intelligence method for real-time in situ significant rectal lesion characterization: a prospective cohort study.

IF 12.5 2区医学 Q1 SURGERY

International journal of surgery Pub Date : 2025-02-01 DOI:10.1097/JS9.0000000000002244

Niall P Hardy, Pol MacAonghusa, Jeffrey Dalli, Jonathan P Epperlein, Paul Huxel, Mohammad F Khan, Alice Moynihan, Sergiy Zhuk, Johanna J Joosten, David Nijssen, Alberto Arezzo, Juriaan Tuynman, Peter M Neary, Roel Hompes, Ronan A Cahill

引用次数: 0

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可解释的内镜人工智能方法实时原位直肠显著病变特征-一项前瞻性队列研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International journal of surgery SURGERY-

CiteScore

17.70

自引率

3.30%

发文量

审稿时长

6-12 weeks

期刊介绍： The International Journal of Surgery (IJS) has a broad scope, encompassing all surgical specialties. Its primary objective is to facilitate the exchange of crucial ideas and lines of thought between and across these specialties.By doing so, the journal aims to counter the growing trend of increasing sub-specialization, which can result in "tunnel-vision" and the isolation of significant surgical advancements within specific specialties.