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Digestive Diseases and Sciences
Published in: Digestive Diseases and Sciences 10/2022

03-05-2022 | Chronic Inflammatory Bowel Disease | Editorial

Real-World Guidance from Artificial Intelligence? Predicting Outcomes of Inflammatory Bowel Disease Using Machine Learning

Authors: Danny Con, Abhinav Vasudevan

Published in: Digestive Diseases and Sciences | Issue 10/2022

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Excerpt

Management of chronic illnesses, including inflammatory bowel disease (IBD), can be challenging. There are many factors that contribute to the overall disease course and treatment response. In an ideal world, it would be possible to identify individuals with a high risk of disease complications with the assurance that the chosen treatment has the highest chance of success and is most likely to achieve meaningful long-term improvement. …
Literature
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Denson LA, Curran M, McGovern DPB et al. Challenges in IBD research: precision medicine. Inflamm Bowel Dis 2019;25:S31-s39.CrossRef
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Chen H, Sung JJ. Potentials of AI in medical image analysis in gastroenterology and hepatology. J Gastroenterol Hepatol 2020;36:31–38.CrossRef
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Kohli A, Holzwanger EA, Levy AN. Emerging use of artificial intelligence in inflammatory bowel disease. World J Gastroenterol 2020;26:6923–6928.CrossRef
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Le Berre C, Sandborn WJ, Aridhi S et al. Application of artificial intelligence to gastroenterology and hepatology. Gastroenterology 2020;158:76-94.e72.CrossRef
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Moons KG, Altman DG, Reitsma JB et al. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): explanation and elaboration. Ann Intern Med 2015;162:W1-73.CrossRef
Metadata
Title
Real-World Guidance from Artificial Intelligence? Predicting Outcomes of Inflammatory Bowel Disease Using Machine Learning
Authors
Danny Con
Abhinav Vasudevan
Publication date
03-05-2022
Publisher
Springer US
Published in
Digestive Diseases and Sciences / Issue 10/2022
Print ISSN: 0163-2116
Electronic ISSN: 1573-2568
DOI
https://doi.org/10.1007/s10620-022-07511-x

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