Application of Artificial Intelligence to Clinical Practice in Inflammatory Bowel Disease – What the Clinician Needs to Know. (24th September 2021)

• Record Type: Journal Article
• Authors: Chen, David; Fulmer, Clifton; Gordon, Ilyssa O; Syed, Sana; Stidham, Ryan W; Vande Casteele, Niels; Qin, Yi; Falloon, Katherine; Cohen, Benjamin L; Wyllie, Robert; Rieder, Florian
• Is Part Of: Journal of Crohn's and colitis. Volume 16:Number 3(2022)
• Page Start: 460
• Page End: 471
• Publication Date: 2021-09-24
• Subjects: Inflammatory bowel disease -- artificial intelligence -- machine learning -- neural networks; Inflammatory bowel diseases -- Periodicals; 616.344005
• DOI: 10.1093/ecco-jcc/jjab169
• Languages: English
• ISSNs: 1873-9946

Abstract

Abstract: Artificial intelligence [AI] techniques are quickly spreading across medicine as an analytical method to tackle challenging clinical questions. What were previously thought of as highly complex data sources, such as images or free text, are now becoming manageable. Novel analytical methods merge the latest developments in information technology infrastructure with advances in computer science. Once primarily associated with Silicon Valley, AI techniques are now making their way into medicine, including in the field of inflammatory bowel diseases [IBD]. Understanding potential applications and limitations of these techniques can be difficult, in particular for busy clinicians. In this article, we explain the basic terminologies and provide a particular focus on the foundations behind state-of-the-art AI methodologies in both imaging and text. We explore the growing applications of AI in medicine, with a specific focus on IBD to inform the practising gastroenterologist and IBD specialist. Finally, we outline possible future uses of these technologies in daily clinical practice.