Artificial intelligence-assisted esophageal cancer management:Now and future
作者机构：Department of Gastroenterology and HepatologyWest China HospitalSichuan UniversityChengdu 610041Sichuan ProvinceChina
出 版 物：《World Journal of Gastroenterology》 (世界胃肠病学杂志（英文版）)
年 卷 期：2020年第26卷第35期
页 面：5256-5271页
核心收录：
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
基 金：Supported by Sichuan Science and Technology Department Key R and D Projects,No.2019YFS0257 and Chengdu Technological Innovation R and D Projects,No.2018-YFYF-00033-GX
主 题：Artificial intelligence Computer-aided diagnosis Deep learning Esophageal squamous cell cancer Barrett’s esophagus Endoscopy
摘 要：Esophageal cancer poses diagnostic,therapeutic and economic burdens in highrisk *** intelligence(AI)has been developed for diagnosis and outcome prediction using various features,including clinicopathologic,radiologic,and genetic variables,which can achieve inspiring *** of the most recent tasks of AI is to use state-of-the-art deep learning technique to detect both early esophageal squamous cell carcinoma and esophageal adenocarcinoma in Barrett’s *** this review,we aim to provide a comprehensive overview of the ways in which AI may help physicians diagnose advanced cancer and make clinical decisions based on predicted outcomes,and combine the endoscopic images to detect precancerous lesions or early *** studies conducted in recent two years have surged in numbers,with large datasets and external validation from multi-centers,and have partly achieved intriguing results of expert’s performance of AI in real *** pre-trained computer-aided diagnosis algorithms in the future studies with larger training and external validation datasets,aiming at real-time video processing,are imperative to produce a diagnostic efficacy similar to or even superior to experienced ***,supervised randomized controlled trials in real clinical practice are highly essential for a solid conclusion,which meets patient-centered ***,ethical and legal issues regarding the blackbox nature of computer algorithms should be addressed,for both clinicians and regulators.
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