Literature DB >> 32387497

A primer on artificial intelligence and its application to endoscopy.

Daljeet Chahal1, Michael F Byrne2.   

Abstract

Artificial intelligence (AI) has emerged as a powerful and exciting new technology poised to impact many aspects of health care. In endoscopy, AI is now being used to detect and characterize benign and malignant GI lesions and assess malignant lesion depth of invasion. It will undoubtedly also find use in capsule endoscopy and inflammatory bowel disease. Herein, we provide the general endoscopist with a brief overview of AI and its emerging uses in our field. We also touch on the challenges of incorporating AI into clinical practice, such as workflow integration, data storage, and data privacy.
Copyright © 2020 American Society for Gastrointestinal Endoscopy. Published by Elsevier Inc. All rights reserved.

Mesh:

Year:  2020        PMID: 32387497     DOI: 10.1016/j.gie.2020.04.074

Source DB:  PubMed          Journal:  Gastrointest Endosc        ISSN: 0016-5107            Impact factor:   9.427


  8 in total

1.  Artificial Intelligence-Assisted Endoscopic Diagnosis of Early Upper Gastrointestinal Cancer: A Systematic Review and Meta-Analysis.

Authors:  Fei Kuang; Juan Du; Mengjia Zhou; Xiangdong Liu; Xinchen Luo; Yong Tang; Bo Li; Song Su
Journal:  Front Oncol       Date:  2022-06-10       Impact factor: 5.738

Review 2.  Intestinal strictures in Crohn's disease: a 2021 update.

Authors:  Xiaoxuan Lin; Yu Wang; Zishan Liu; Sinan Lin; Jinyu Tan; Jinshen He; Fan Hu; Xiaomin Wu; Subrata Ghosh; Minhu Chen; Fen Liu; Ren Mao
Journal:  Therap Adv Gastroenterol       Date:  2022-06-21       Impact factor: 4.802

Review 3.  Artificial Intelligence-Based Polyp Detection in Colonoscopy: Where Have We Been, Where Do We Stand, and Where Are We Headed?

Authors:  Thomas Wittenberg; Martin Raithel
Journal:  Visc Med       Date:  2020-11-12

4.  Artificial Intelligence for Detecting and Delineating Margins of Early ESCC Under WLI Endoscopy.

Authors:  Wei Liu; Xianglei Yuan; Linjie Guo; Feng Pan; Chuncheng Wu; Zhongshang Sun; Feng Tian; Cong Yuan; Wanhong Zhang; Shuai Bai; Jing Feng; Yanxing Hu; Bing Hu
Journal:  Clin Transl Gastroenterol       Date:  2022-01-11       Impact factor: 4.396

5.  Artificial Intelligence for Colonoscopy: Past, Present, and Future.

Authors:  Wallapak Tavanapong; JungHwan Oh; Michael A Riegler; Mohammed Khaleel; Bhuvan Mittal; Piet C de Groen
Journal:  IEEE J Biomed Health Inform       Date:  2022-08-11       Impact factor: 7.021

Review 6.  Convolution neural network for the diagnosis of wireless capsule endoscopy: a systematic review and meta-analysis.

Authors:  Kaiwen Qin; Jianmin Li; Yuxin Fang; Yuyuan Xu; Jiahao Wu; Haonan Zhang; Haolin Li; Side Liu; Qingyuan Li
Journal:  Surg Endosc       Date:  2021-08-23       Impact factor: 4.584

Review 7.  Application of Artificial Intelligence in Medicine: An Overview.

Authors:  Peng-Ran Liu; Lin Lu; Jia-Yao Zhang; Tong-Tong Huo; Song-Xiang Liu; Zhe-Wei Ye
Journal:  Curr Med Sci       Date:  2021-12-06

Review 8.  Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer.

Authors:  Hang Qiu; Shuhan Ding; Jianbo Liu; Liya Wang; Xiaodong Wang
Journal:  Curr Oncol       Date:  2022-03-07       Impact factor: 3.677

  8 in total

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