Open AccessApplication of Artificial Intelligence to Clinical Practice in Inflammatory Bowel Disease – What the Clinician Needs to Know
Author(s) -
David Chen,
Clifton Fulmer,
Ilyssa O. Gordon,
Sana Syed,
Ryan W. Stidham,
Niels Vande Casteele,
Yi Qin,
Katherine Falloon,
Benjamin Cohen,
Robert Wyllie,
Florian Rieder
Publication year - 2021
Publication title -
journal of crohn's and colitis
Language(s) - English
Resource type - Journals
eISSN - 1876-4479
pISSN - 1873-9946
DOI - 10.1093/ecco-jcc/jjab169
Subject(s) - merge (version control) , clinical practice , inflammatory bowel diseases , data science , computer science , engineering ethics , inflammatory bowel disease , applications of artificial intelligence , medicine , artificial intelligence , disease , pathology , engineering , family medicine , information retrieval
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.