Department of Gastroenterology, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Department of Gastroenterology, Affiliated Hospital of Southwest Medical University, Luzhou, China; Department of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Gastroenterol Hepatol. 2023 Mar;46(3):203-213. doi: 10.1016/j.gastrohep.2022.03.009. Epub 2022 Apr 27.
Colorectal cancer (CRC) is one of the common malignant tumors in the world. Colonoscopy is the crucial examination technique in CRC screening programs for the early detection of precursor lesions, and treatment of early colorectal cancer, which can reduce the morbidity and mortality of CRC significantly. However, pooled polyp miss rates during colonoscopic examination are as high as 22%. Artificial intelligence (AI) provides a promising way to improve the colonoscopic adenoma detection rate (ADR). It might assist endoscopists in avoiding missing polyps and offer an accurate optical diagnosis of suspected lesions. Herein, we described some of the milestone studies in using AI for colonoscopy, and the future application directions of AI in improving colonoscopic ADR.
结直肠癌（CRC）是世界上常见的恶性肿瘤之一。结肠镜检查是 CRC 筛查计划中用于早期发现前体病变和治疗早期结直肠癌的关键检查技术，它可以显著降低 CRC 的发病率和死亡率。然而，结肠镜检查中息肉的总体漏检率高达 22%。人工智能（AI）为提高结肠镜腺瘤检出率（ADR）提供了一种很有前景的方法。它可以帮助内镜医生避免漏检息肉，并对可疑病变进行准确的光学诊断。在此，我们描述了一些使用 AI 进行结肠镜检查的里程碑式研究，以及 AI 在提高结肠镜 ADR 方面的未来应用方向。
