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World J Gastroenterol. 2020 Sep 28;26(36):5408-5419. doi: 10.3748/wjg.v26.i36.5408.
2
Artificial intelligence-assisted esophageal cancer management: Now and future.人工智能辅助的食管癌管理：现状与未来。
World J Gastroenterol. 2020 Sep 21;26(35):5256-5271. doi: 10.3748/wjg.v26.i35.5256.
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Real-time assessment of video images for esophageal squamous cell carcinoma invasion depth using artificial intelligence.利用人工智能实时评估食管鳞状细胞癌侵犯深度的视频图像。
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Comparison of performances of artificial intelligence versus expert endoscopists for real-time assisted diagnosis of esophageal squamous cell carcinoma (with video).人工智能与专家内镜医师实时辅助诊断食管鳞状细胞癌的性能比较（附视频）。
Gastrointest Endosc. 2020 Oct;92(4):848-855. doi: 10.1016/j.gie.2020.05.043. Epub 2020 Jun 4.
5
[Quality control of early gastrointestinal cancers screening: initiating a new mode in the era of internet].早期胃肠癌筛查的质量控制：开启互联网时代的新模式
Zhonghua Nei Ke Za Zhi. 2020 Feb 1;59(2):95-98. doi: 10.3760/cma.j.issn.0578-1426.2020.02.002.
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Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma.应用卷积神经网络的人工智能在确定食管鳞状细胞癌侵袭深度中的应用。
Esophagus. 2020 Jul;17(3):250-256. doi: 10.1007/s10388-020-00716-x. Epub 2020 Jan 24.
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Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett's esophagus (with video).使用卷积神经网络的人工智能实时检测 Barrett 食管中的早期食管肿瘤（附视频）。
Gastrointest Endosc. 2020 Jun;91(6):1264-1271.e1. doi: 10.1016/j.gie.2019.12.049. Epub 2020 Jan 11.
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Deep learning algorithm detection of Barrett's neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video).深度学习算法在实时内镜检查中高精度检测 Barrett 肿瘤：一项初步研究（附有视频）。
Gastrointest Endosc. 2020 Jun;91(6):1242-1250. doi: 10.1016/j.gie.2019.12.048. Epub 2020 Jan 10.
9
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人工智能辅助早期食管肿瘤的内镜检测：下一步何去何从？

Artificial intelligence-assisted endoscopic detection of esophageal neoplasia in early stage: The next step?

作者信息

Liu Yong

机构信息

Department of Thoracic Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430011, Hubei Province, China.

出版信息

World J Gastroenterol. 2021 Apr 14;27(14):1392-1405. doi: 10.3748/wjg.v27.i14.1392.

DOI:10.3748/wjg.v27.i14.1392
PMID:33911463
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8047537/
Abstract

Esophageal cancer (EC) is a common malignant tumor of the digestive tract and originates from the epithelium of the esophageal mucosa. It has been confirmed that early EC lesions can be cured by endoscopic therapy, and the curative effect is equivalent to that of surgical operation. Upper gastrointestinal endoscopy is still the gold standard for EC diagnosis. The accuracy of endoscopic examination results largely depends on the professional level of the examiner. Artificial intelligence (AI) has been applied in the screening of early EC and has shown advantages; notably, it is more accurate than less-experienced endoscopists. This paper reviews the application of AI in the field of endoscopic detection of early EC, including squamous cell carcinoma and adenocarcinoma, and describes the relevant progress. Although up to now most of the studies evaluating the clinical application of AI in early EC endoscopic detection are focused on still images, AI-assisted real-time detection based on live-stream video may be the next step.

摘要

食管癌（EC）是一种常见的消化道恶性肿瘤，起源于食管黏膜上皮。已经证实，早期食管癌病变可通过内镜治疗治愈，其疗效与手术相当。上消化道内镜检查仍是食管癌诊断的金标准。内镜检查结果的准确性很大程度上取决于检查者的专业水平。人工智能（AI）已应用于早期食管癌的筛查并显示出优势；值得注意的是，它比经验不足的内镜医师更准确。本文综述了AI在早期食管癌内镜检测领域的应用，包括鳞状细胞癌和腺癌，并描述了相关进展。尽管到目前为止，大多数评估AI在早期食管癌内镜检测中临床应用的研究都集中在静态图像上，但基于实时视频的AI辅助实时检测可能是下一步发展方向。