Arnault Tzanck Institute, 116 rue du commandant Cahuzac, Saint Laurent du var, France.
Curr Opin Gastroenterol. 2023 Sep 1;39(5):397-402. doi: 10.1097/MOG.0000000000000957. Epub 2023 Jul 17.
With the incessant advances in information technology and its implications in all domains of our life, artificial intelligence (AI) started to emerge as a need for better machine performance. How it can help endoscopists and what are the areas of interest in improving both diagnostic and therapeutic endoscopy in each part of the gastrointestinal (GI) tract. What are the recent benefits and clinical usefulness of this new technology in daily endoscopic practice.
The two main AI systems categories are computer-assisted detection 'CADe' for lesion detection and computer-assisted diagnosis 'CADx' for optical biopsy and lesion characterization. Multiple softwares are now implemented in endoscopy practice. Other AI systems offer therapeutic assistance such as lesion delineation for complete endoscopic resection or prediction of possible lymphanode after endoscopic treatment. Quality assurance is the coming step with complete monitoring of high-quality colonoscopy. In all cases it is a computer-aid endoscopy as the overall result rely on the physician. Video capsule endoscopy is the unique example were the computer conduct the device, store multiple images, and perform accurate diagnosis.
AI is a breakthrough in digestive endoscopy. Screening gastric and colonic cancer detection should be improved especially outside of expert's centers. Prospective and multicenter trials are mandatory before introducing new software in clinical practice.
目的综述：随着信息技术的不断进步及其在我们生活各个领域的应用，人工智能（AI）开始成为提高机器性能的需求。它如何帮助内镜医生，以及在胃肠道（GI）的各个部位提高诊断和治疗内镜的哪些领域存在兴趣。这项新技术在日常内镜实践中有哪些最近的益处和临床用途。
最新发现：人工智能的两个主要系统类别是计算机辅助检测（CADe）用于病变检测和计算机辅助诊断（CADx）用于光学活检和病变特征描述。现在有多个软件在应用于内镜实践。其他人工智能系统提供治疗辅助，例如完全内镜切除的病变描绘或内镜治疗后可能的淋巴结预测。质量保证是下一步，对高质量结肠镜检查进行全面监测。在所有情况下，它都是计算机辅助内镜，因为整体结果依赖于医生。胶囊内镜是唯一的例子，计算机可以控制设备、存储多个图像并进行准确诊断。
总结：人工智能是消化内镜领域的一项突破。筛查胃癌和结肠癌的检测应该得到改善，尤其是在专家中心之外。在将新软件引入临床实践之前，必须进行前瞻性和多中心试验。
