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Comments on "The impact of artificial intelligence on the adenoma detection rate: comparison between experienced, intermediate and trainee endoscopists' adenoma detection rate".

作者信息

Guo Wenjia, Chen Yi

机构信息

Cancer Research Institute, The Affiliated Cancer Hospital of Xinjiang Medical University, 830011, Urumqi, China.

Xinjiang Key Laboratory of Translational Biomedical Engineering, 830011, Urumqi, China.

出版信息

Wien Klin Wochenschr. 2025 Aug 8. doi: 10.1007/s00508-025-02596-6.

DOI:10.1007/s00508-025-02596-6
PMID:40779099
Abstract
摘要

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本文引用的文献

1
Use of artificial intelligence improves colonoscopy performance in adenoma detection: a systematic review and meta-analysis.人工智能在腺瘤检测中提高结肠镜检查性能的应用：一项系统评价和荟萃分析。
Gastrointest Endosc. 2025 Jan;101(1):68-81.e8. doi: 10.1016/j.gie.2024.08.033. Epub 2024 Aug 30.
2
An artificial intelligence-assisted system versus white light endoscopy alone for adenoma detection in individuals with Lynch syndrome (TIMELY): an international, multicentre, randomised controlled trial.人工智能辅助系统与白光内镜单独用于林奇综合征患者腺瘤检测的比较（TIMELY）：一项国际、多中心、随机对照试验。
Lancet Gastroenterol Hepatol. 2024 Sep;9(9):802-810. doi: 10.1016/S2468-1253(24)00187-0. Epub 2024 Jul 19.
3
Endocuff With or Without Artificial Intelligence-Assisted Colonoscopy in Detection of Colorectal Adenoma: A Randomized Colonoscopy Trial.
内镜黏膜下剥离术治疗结直肠侧向发育型肿瘤的疗效分析
Am J Gastroenterol. 2024 Jul 1;119(7):1318-1325. doi: 10.14309/ajg.0000000000002684. Epub 2024 Feb 2.
4
Diagnostic accuracy of a novel artificial intelligence system for adenoma detection in daily practice: a prospective nonrandomized comparative study.一种新型人工智能系统在日常实践中检测腺瘤的诊断准确性：一项前瞻性非随机对照研究。
Endoscopy. 2022 May;54(5):465-472. doi: 10.1055/a-1556-5984. Epub 2021 Sep 13.