Solitano Virginia, Zilli Alessandra, Franchellucci Gianluca, Allocca Mariangela, Fiorino Gionata, Furfaro Federica, D'Amico Ferdinando, Danese Silvio, Al Awadhi Sameer
Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele, Italy.
Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele, 20132 Milan, Italy.
J Clin Med. 2022 Jan 24;11(3):569. doi: 10.3390/jcm11030569.
Artificial intelligence (AI) is assuming an increasingly important and central role in several medical fields. Its application in endoscopy provides a powerful tool supporting human experiences in the detection, characterization, and classification of gastrointestinal lesions. Lately, the potential of AI technology has been emerging in the field of inflammatory bowel disease (IBD), where the current cornerstone is the treat-to-target strategy. A sensible and specific tool able to overcome human limitations, such as AI, could represent a great ally and guide precision medicine decisions. Here we reviewed the available literature on the endoscopic applications of AI in order to properly describe the current state-of-the-art and identify the research gaps in IBD at the dawn of 2022.
人工智能(AI)在多个医学领域正发挥着越来越重要的核心作用。其在内镜检查中的应用提供了一个强大工具,辅助人类进行胃肠道病变的检测、特征描述及分类。最近,人工智能技术在炎症性肠病(IBD)领域的潜力逐渐显现,目前该领域的基石是达标治疗策略。像人工智能这样能够克服人类局限性的合理且特定的工具,可能成为精准医疗决策的有力帮手和指南。在此,我们回顾了关于人工智能在内镜检查中应用的现有文献,以便恰当地描述当前的技术水平,并找出2022年初炎症性肠病领域的研究空白。