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Artificial Endoscopy and Inflammatory Bowel Disease: Welcome to the Future
| Content Provider | MDPI |
|---|---|
| Author | D’Amico, Ferdinando Solitano, Virginia Zilli, Alessandra Franchellucci, Gianluca Allocca, Mariangela Fiorino, Gionata Furfaro, Federica Danese, Silvio Awadhi, Sameer Al |
| Copyright Year | 2022 |
| Description | 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. |
| Starting Page | 569 |
| e-ISSN | 20770383 |
| DOI | 10.3390/jcm11030569 |
| Journal | Journal of clinical medicine |
| Issue Number | 3 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-01-24 |
| Access Restriction | Open |
| Subject Keyword | Journal of clinical medicine Journal of Clinical Medicine Gastroenterology and Hepatology Inflammatory Bowel Disease Artificial Intelligence Endoscopy Capsule Endoscopy Machine Learning |
| Content Type | Text |
| Resource Type | Article |
