| Literature DB >> 34558619 |
David Chen1,2, Clifton Fulmer3, Ilyssa O Gordon3, Sana Syed4,5, Ryan W Stidham6,7, Niels Vande Casteele8, Yi Qin2, Katherine Falloon2, Benjamin L Cohen2, Robert Wyllie1,9, Florian Rieder2,10.
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.Entities:
Keywords: Inflammatory bowel disease; artificial intelligence; machine learning; neural networks
Mesh:
Year: 2022 PMID: 34558619 PMCID: PMC8919817 DOI: 10.1093/ecco-jcc/jjab169
Source DB: PubMed Journal: J Crohns Colitis ISSN: 1873-9946 Impact factor: 10.020