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Ascending the "Hill" of Artificial Intelligence in Upper Gastrointestinal Endoscopy.

作者信息

Simsek Cem, Parsa Nasim, Kunovsky Lumir

机构信息

Division of Gastroenterology, Hacettepe University Faculty of Medicine, Ankara, Turkey.

Division of Gastroenterology, Hepatology and Nutrition, University of Minnesota Medical Center, Minneapolis, Minnesota, USA.

出版信息

United European Gastroenterol J. 2025 May;13(4):510-511. doi: 10.1002/ueg2.12730. Epub 2024 Dec 12.

DOI:10.1002/ueg2.12730
PMID:39665532
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12090830/
Abstract
摘要

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Ascending the "Hill" of Artificial Intelligence in Upper Gastrointestinal Endoscopy.在上消化道内镜检查中攀登人工智能的“高峰”
United European Gastroenterol J. 2025 May;13(4):510-511. doi: 10.1002/ueg2.12730. Epub 2024 Dec 12.
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本文引用的文献

1
Prospective Evaluation of Real-Time Artificial Intelligence for the Hill Classification of the Gastroesophageal Junction.用于胃食管交界部希尔分类的实时人工智能的前瞻性评估
United European Gastroenterol J. 2025 Mar;13(2):240-246. doi: 10.1002/ueg2.12721. Epub 2024 Dec 12.
2
QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy.QUAIDE - 诊断性内窥镜检查中人工智能临床前研究的质量评估
Gut. 2024 Dec 10;74(1):153-161. doi: 10.1136/gutjnl-2024-332820.
3
Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box.探讨人工智能驱动的大型语言模型在胃肠病学中的益处和挑战：跳出固有思维。
Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. 2024 Nov;168(4):277-283. doi: 10.5507/bp.2024.027. Epub 2024 Sep 4.
4
Development and validation of artificial neural networks model for detection of Barrett's neoplasia: a multicenter pragmatic nonrandomized trial (with video).开发和验证用于检测 Barrett 肿瘤的人工神经网络模型：一项多中心实用非随机试验（附视频）。
Gastrointest Endosc. 2023 Mar;97(3):422-434. doi: 10.1016/j.gie.2022.10.031. Epub 2022 Oct 23.
5
Development and evaluation of a deep learning model to improve the usability of polyp detection systems during interventions.开发和评估深度学习模型，以提高介入期间息肉检测系统的可用性。
United European Gastroenterol J. 2022 Jun;10(5):477-484. doi: 10.1002/ueg2.12235. Epub 2022 May 5.
6
Artificial Intelligence in Upper Gastrointestinal Endoscopy.人工智能在上消化道内镜中的应用。
Dig Dis. 2022;40(4):395-408. doi: 10.1159/000518232. Epub 2021 Jul 21.
7
Performance measures for upper gastrointestinal endoscopy: a European Society of Gastrointestinal Endoscopy (ESGE) Quality Improvement Initiative.上消化道内镜检查的性能指标：欧洲胃肠内镜学会（ESGE）质量改进计划
Endoscopy. 2016 Sep;48(9):843-64. doi: 10.1055/s-0042-113128. Epub 2016 Aug 22.
8
Inter- and intra-observer variability in the measurement of length at endoscopy: Implications for the measurement of Barrett's esophagus.内镜检查时长度测量的观察者间和观察者内变异性：对巴雷特食管测量的影响。
Gastrointest Endosc. 2004 May;59(6):655-8. doi: 10.1016/s0016-5107(04)00182-8.
9
The gastroesophageal flap valve: in vitro and in vivo observations.胃食管瓣阀：体外和体内观察
Gastrointest Endosc. 1996 Nov;44(5):541-7. doi: 10.1016/s0016-5107(96)70006-8.