Artificial intelligence in polyp detection-where are we and where are we headed?
作者机构：Department of SurgerySt.Louis University HospitalSaint LouisMO 63110United States
出 版 物：《Artificial Intelligence in Gastrointestinal Endoscopy》 (胃肠道内窥镜检查中的人工智能（英文）)
年 卷 期：2021年第2卷第6期
页 面：211-219页
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Neural networks Computer aided detection Artificial intelligence in colonoscopy and polyp detection Artificial intelligence in adenoma detection
摘 要：The goal of artificial intelligence in colonoscopy is to improve adenoma detection rate and reduce interval colorectal *** intelligence in polyp detection during colonoscopy has evolved tremendously over the last decade mainly due to the implementation of neural *** aided detection(CADe)utilizing neural networks allows real time detection of polyps and *** CADe systems are built in single centers by multidisciplinary teams and have only been utilized in limited clinical research *** review the most recent prospective randomized controlled trials *** randomized control trials,both non-blinded and blinded,demonstrated increase in adenoma and polyp detection rates when endoscopists used CADe systems vs standard high definition *** of polyps and adenomas detected were mainly small and sessile in *** systems were found to be safe with little added time to the overall *** are promising as more CADe have shown to have ability to increase accuracy and improve quality of *** limitations included selection bias as all trials built and utilized different CADe developed at their own institutions,non-blinded arms,and question of external validity.
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