Department of Medicine, University of British Columbia, Vancouver, BC, Canada.
Division of Gastroenterology, Department of Medicine, University of British Columbia; Satisfai Health, Vancouver, BC, Canada.
Saudi J Gastroenterol. 2023 Sep-Oct;29(5):269-277. doi: 10.4103/sjg.sjg_286_23. Epub 2023 Sep 6.
Since the emergence of artificial intelligence (AI) in medicine, endoscopy applications in gastroenterology have been at the forefront of innovations. The ever-increasing number of studies necessitates the need to organize and classify applications in a useful way. Separating AI capabilities by computer aided detection (CADe), diagnosis (CADx), and quality assessment (CADq) allows for a systematic evaluation of each application. CADe studies have shown promise in accurate detection of esophageal, gastric and colonic neoplasia as well as identifying sources of bleeding and Crohn's disease in the small bowel. While more advanced CADx applications employ optical biopsies to give further information to characterize neoplasia and grade inflammatory disease, diverse CADq applications ensure quality and increase the efficiency of procedures. Future applications show promise in advanced therapeutic modalities and integrated systems that provide multimodal capabilities. AI is set to revolutionize clinical decision making and performance of endoscopy.
自从人工智能（AI）在医学领域出现以来，胃肠病学领域的内镜应用一直处于创新的前沿。越来越多的研究需要以有用的方式对应用进行组织和分类。通过计算机辅助检测（CADe）、诊断（CADx）和质量评估（CADq）来区分 AI 功能，可以对每个应用进行系统评估。CADe 研究已经显示出在准确检测食管、胃和结肠肿瘤以及识别小肠出血和克罗恩病来源方面的潜力。而更先进的 CADx 应用则利用光学活检来提供进一步的信息以对肿瘤进行特征描述和对炎症性疾病进行分级，不同的 CADq 应用则确保了质量并提高了手术的效率。未来的应用有望在先进的治疗模式和提供多模态功能的集成系统中得到应用。人工智能有望彻底改变内镜检查的临床决策和性能。
