Hepatology and Gastroenterology Department, National Liver Institute, Menoufia University, Menoufia, Egypt; Gastroenterology Department, Royal Liverpool University Hospital, NHS, UK.
Department of Internal Medicine, Al-Azhar University, Cairo, Egypt.
Arab J Gastroenterol. 2024 Feb;25(1):13-17. doi: 10.1016/j.ajg.2023.11.008. Epub 2024 Jan 13.
Artificial Intelligence [AI] has been a trendy topic in recent years, with many developed medical applications. In gastrointestinal endoscopy, AI systems include computer-assisted detection [CADe] for lesion detection as bleedings and polyps and computer-assisted diagnosis [CADx] for optical biopsy and lesion characterization. The technology behind these systems is based on a computer algorithm that is trained for a specific function. This function could be to recognize or characterize target lesions such as colonic polyps. Moreover, AI systems can offer technical assistance to improve endoscopic performance as scope insertion guidance. Currently, we believe that such technologies still lack legal and regulatory validations as a large sector of doctors and patients have concerns. However, there is no doubt that these technologies will bring significant improvement in the endoscopic management of patients as well as save money and time.
人工智能（AI）是近年来的热门话题，有许多发达的医学应用。在胃肠内镜中，人工智能系统包括用于检测病变（如出血和息肉）的计算机辅助检测（CADe）以及用于光学活检和病变特征描述的计算机辅助诊断（CADx）。这些系统背后的技术基于针对特定功能进行训练的计算机算法。该功能可以是识别或描述目标病变，如结肠息肉。此外，人工智能系统可以提供技术协助，以改善内镜性能，例如引导插入内镜。目前，我们认为这些技术仍然缺乏法律和监管方面的验证，因为很大一部分医生和患者对此存在担忧。然而，毫无疑问，这些技术将极大地改善患者的内镜管理，并节省金钱和时间。
