Kamitani Yu, Nonaka Kouichi, Isomoto Hajime
Department of Digestive Endoscopy, Tokyo Women's Medical University Hospital, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan.
Division of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University, 36-1 Nishicho, Yonago 683-8504, Japan.
J Clin Med. 2022 May 22;11(10):2923. doi: 10.3390/jcm11102923.
The early endoscopic identification, resection, and treatment of precancerous adenoma and early-stage cancer has been shown to reduce not only the prevalence of colorectal cancer but also its mortality rate. Recent advances in endoscopic devices and imaging technology have dramatically improved our ability to detect colorectal lesions and predict their pathological diagnosis. In addition to this, rapid advances in artificial intelligence (AI) technology mean that AI-related research and development is now progressing in the diagnostic imaging field, particularly colonoscopy, and AIs (i.e., devices that mimic cognitive abilities, such as learning and problem-solving) already approved as medical devices are now being introduced into everyday clinical practice. Today, there is an increasing expectation that sophisticated AIs will be able to provide high-level diagnostic performance irrespective of the level of skill of the endoscopist. In this paper, we review colonoscopy-related AI research and the AIs that have already been approved and discuss the future prospects of this technology.
癌前腺瘤和早期癌症的早期内镜识别、切除及治疗已被证明不仅能降低结直肠癌的发病率，还能降低其死亡率。内镜设备和成像技术的最新进展极大地提高了我们检测结直肠病变并预测其病理诊断的能力。除此之外，人工智能（AI）技术的快速发展意味着与AI相关的研发目前正在诊断成像领域取得进展，尤其是在结肠镜检查方面，并且已经作为医疗设备获得批准的AI（即模仿学习和解决问题等认知能力的设备）现在正被引入日常临床实践。如今，人们越来越期望先进的AI能够提供高水平的诊断性能，而与内镜医师的技术水平无关。在本文中，我们回顾了与结肠镜检查相关的AI研究以及已获批准的AI，并讨论了该技术的未来前景。
