人工智能在结肠镜息肉检测和定性中的应用:计算机技术与内窥镜技术相结合,为患者提供更好的护理

IF 0.4 Q4 GASTROENTEROLOGY & HEPATOLOGY Journal of Digestive Endoscopy Pub Date : 2023-12-01 DOI:10.1055/s-0043-1778059
Uday C. Ghoshal, Saikat Chakrabarti, Mahesh K Goenka
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引用次数: 0

摘要

摘要 人工智能(AI)是一种利用非线性统计分析进行数学建模的计算机技术。多层感知器网络用于预测临床结果,而卷积神经网络则用于检测图像中的病变及其分类。在本期杂志中,有一篇文章回顾了人工智能在结直肠息肉检测和定性方面的影响。这是胃肠病学的一个即将到来的领域,它已经走到了临床医生的家门口,在不久的将来,它可能会给临床实践带来范式转变。希望这篇发人深省的综述能激励内镜医师在这一重要领域开展研究,将基于人工智能的计算机技术应用于消化道病变的内镜检测。
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Artificial Intelligence in Colonoscopic Polyp Detection and Characterization: Merging Computer Technology and Endoscopic Skill for Better Patient Care
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.
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来源期刊
Journal of Digestive Endoscopy
Journal of Digestive Endoscopy GASTROENTEROLOGY & HEPATOLOGY-
自引率
28.60%
发文量
35
审稿时长
22 weeks
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.
期刊最新文献
Impact of Artificial Intelligence in Colorectal Polyp Detection and Characterization Accidental Ingestion of Live Ants Linear Endoscopic Ultrasound Examination of the Biliary System and Its Clinical Applications Pill Esophagitis: Clinical and Endoscopic Profile Artificial Intelligence in Colonoscopic Polyp Detection and Characterization: Merging Computer Technology and Endoscopic Skill for Better Patient Care
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