Uday C. Ghoshal, Saikat Chakrabarti, Mahesh K Goenka
{"title":"Artificial Intelligence in Colonoscopic Polyp Detection and Characterization: Merging Computer Technology and Endoscopic Skill for Better Patient Care","authors":"Uday C. Ghoshal, Saikat Chakrabarti, Mahesh K Goenka","doi":"10.1055/s-0043-1778059","DOIUrl":null,"url":null,"abstract":"Abstract Artificial intelligence (AI) is a computer technology for mathematical modeling that uses nonlinear statistical analysis. While multilayer perceptron network is used for prediction of clinical outcome, convolutional neural network is used for detection of lesion in an image and its classification. In this issue of the journal, an article reviewed the impact of AI in colorectal polyp detection and characterization. This is an upcoming area of gastroenterology, which has already reached the doorstep of practicing clinicians and in the near future, it may bring a paradigm shift in clinical practice. It is expected that this thought-provoking review will stimulate endoscopists to take up research in this important field of application of an AI-based computer technology for endoscopic detection of gastrointestinal lesions.","PeriodicalId":43098,"journal":{"name":"Journal of Digestive Endoscopy","volume":"39 6","pages":"239 - 242"},"PeriodicalIF":0.4000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Digestive Endoscopy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1055/s-0043-1778059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Artificial intelligence (AI) is a computer technology for mathematical modeling that uses nonlinear statistical analysis. While multilayer perceptron network is used for prediction of clinical outcome, convolutional neural network is used for detection of lesion in an image and its classification. In this issue of the journal, an article reviewed the impact of AI in colorectal polyp detection and characterization. This is an upcoming area of gastroenterology, which has already reached the doorstep of practicing clinicians and in the near future, it may bring a paradigm shift in clinical practice. It is expected that this thought-provoking review will stimulate endoscopists to take up research in this important field of application of an AI-based computer technology for endoscopic detection of gastrointestinal lesions.
期刊介绍：
The Journal of Digestive Endoscopy (JDE) is the official publication of the Society of Gastrointestinal Endoscopy of India that has over 1500 members. The society comprises of several key clinicians in this field from different parts of the country and has key international speakers in its advisory board. JDE is a double-blinded peer-reviewed, print and online journal publishing quarterly. It focuses on original investigations, reviews, case reports and clinical images as well as key investigations including but not limited to cholangiopancreatography, fluoroscopy, capsule endoscopy etc.
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