Artificial intelligence (AI) is assuming an increasingly important and central role in several medical fields. Its application in endoscopy provides a powerful tool supporting human experiences in the detection, characterization, and classification of gastrointestinal lesions. Lately, the potential of AI technology has been emerging in the field of inflammatory bowel disease (IBD), where the current cornerstone is the treat-to-target strategy. A sensible and specific tool able to overcome human limitations, such as AI, could represent a great ally and guide precision medicine decisions. Here we reviewed the available literature on the endoscopic applications of AI in order to properly describe the current state-of-the-art and identify the research gaps in IBD at the dawn of 2022.

Artificial Endoscopy and Inflammatory Bowel Disease: Welcome to the Future / Solitano, V.; Zilli, A.; Franchellucci, G.; Allocca, M.; Fiorino, G.; Furfaro, F.; D'Amico, F.; Danese, S.; Al Awadhi, S.. - In: JOURNAL OF CLINICAL MEDICINE. - ISSN 2077-0383. - 11:3(2022). [10.3390/jcm11030569]

Artificial Endoscopy and Inflammatory Bowel Disease: Welcome to the Future

Solitano V.;Furfaro F.;D'amico F.;Danese S.;
2022-01-01

Abstract

Artificial intelligence (AI) is assuming an increasingly important and central role in several medical fields. Its application in endoscopy provides a powerful tool supporting human experiences in the detection, characterization, and classification of gastrointestinal lesions. Lately, the potential of AI technology has been emerging in the field of inflammatory bowel disease (IBD), where the current cornerstone is the treat-to-target strategy. A sensible and specific tool able to overcome human limitations, such as AI, could represent a great ally and guide precision medicine decisions. Here we reviewed the available literature on the endoscopic applications of AI in order to properly describe the current state-of-the-art and identify the research gaps in IBD at the dawn of 2022.
2022
Artificial intelligence
Capsule endoscopy
Endoscopy
Inflammatory bowel disease
Machine learning
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11768/178286
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