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Artificial intelligence-assisted treatment strategy for T1 colorectal cancer after endoscopic resection.

作者信息

Ichimasa Katsuro, Kudo Shin-Ei, Lee Jonathan Wei Jie, Nemoto Tetsuo, Yeoh Khay Guan

机构信息

Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan; Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.

出版信息

Gastrointest Endosc. 2023 Jun;97(6):1148-1152. doi: 10.1016/j.gie.2023.01.057. Epub 2023 Feb 4.

DOI:10.1016/j.gie.2023.01.057
PMID:36739997
Abstract
摘要

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[French comment on article Artificial intelligence may help in predicting the need for additional surgery after endoscopic resection of T1 colorectal cancer].[对文章《人工智能可能有助于预测T1期结直肠癌内镜切除术后额外手术的需求》的法语评论]
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引用本文的文献

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Efficacy of a whole slide image-based prediction model for lymph node metastasis in T1 colorectal cancer: A systematic review.基于全切片图像的T1期结直肠癌淋巴结转移预测模型的疗效：一项系统评价
J Gastroenterol Hepatol. 2024 Dec;39(12):2555-2560. doi: 10.1111/jgh.16748. Epub 2024 Sep 26.
2
Accuracy Goals in Predicting Preoperative Lymph Node Metastasis for T1 Colorectal Cancer Resected Endoscopically.预测 T1 期结直肠经内镜切除术前淋巴结转移的准确性目标。
Gut Liver. 2024 Sep 15;18(5):803-806. doi: 10.5009/gnl240081. Epub 2024 Jul 25.
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Prediction of Lymph Node Metastasis in T1 Colorectal Cancer Using Artificial Intelligence with Hematoxylin and Eosin-Stained Whole-Slide-Images of Endoscopic and Surgical Resection Specimens.
利用人工智能结合苏木精-伊红染色的内镜及手术切除标本全切片图像预测T1期结直肠癌的淋巴结转移情况。
Cancers (Basel). 2024 May 16;16(10):1900. doi: 10.3390/cancers16101900.
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As how artificial intelligence is revolutionizing endoscopy.人工智能如何正在彻底改变内窥镜检查。
Clin Endosc. 2024 May;57(3):302-308. doi: 10.5946/ce.2023.230. Epub 2024 Mar 8.