Application of Artificial Intelligence to Clinical Practice in Inflammatory Bowel Disease – What the Clinician Needs to Know

Author:

Chen David12ORCID,Fulmer Clifton3,Gordon Ilyssa O3ORCID,Syed Sana45,Stidham Ryan W67,Vande Casteele Niels8ORCID,Qin Yi2,Falloon Katherine2,Cohen Benjamin L2,Wyllie Robert19,Rieder Florian210

Affiliation:

1. Medical Operations, Cleveland Clinic Foundation, Cleveland, Ohio, USA

2. Department of Gastroenterology, Hepatology and Nutrition, Digestive Diseases and Surgery Institute, Cleveland Clinic Foundation, Cleveland, OH, USA

3. Department of Pathology, Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic Foundation, Cleveland, OH, USA

4. Division of Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, School of Medicine, University of Virginia, Charlottesville, VA, USA

5. School of Data Science, University of Virginia, Charlottesville, VA, USA

6. Division of Gastroenterology and Hepatology, Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA

7. Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA

8. Department of Medicine, University of California San Diego, La Jolla, CA, USA

9. Department of Pediatric Gastroenterology, Hepatology, and Nutrition, Cleveland Clinic Foundation, Cleveland, OH, USA

10. Department of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA

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 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 practicing gastroenterologist and IBD specialist. Finally, we outline possible future uses of these technologies in daily clinical practice.

Publisher

Oxford University Press (OUP)

Subject

Gastroenterology,General Medicine

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