Artificial intelligence in inflammatory bowel disease: implications for clinical practice and future directions
Inflammatory bowel disease encompasses Crohn’s disease and ulcerative colitis and is characterized by uncontrolled, relapsing, and remitting course of inflammation in the gastrointestinal tract. Artificial intelligence represents a new era within the field of gastroenterology, and the amount of rese...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Association for the Study of Intestinal Diseases
2023-07-01
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| Series: | Intestinal Research |
| Subjects: | |
| Online Access: | http://irjournal.org/upload/pdf/ir-2023-00020.pdf |
| _version_ | 1827878474806722560 |
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| author | Harris A. Ahmad James E. East Remo Panaccione Simon Travis James B. Canavan Keith Usiskin Michael F. Byrne |
| author_facet | Harris A. Ahmad James E. East Remo Panaccione Simon Travis James B. Canavan Keith Usiskin Michael F. Byrne |
| author_sort | Harris A. Ahmad |
| collection | DOAJ |
| description | Inflammatory bowel disease encompasses Crohn’s disease and ulcerative colitis and is characterized by uncontrolled, relapsing, and remitting course of inflammation in the gastrointestinal tract. Artificial intelligence represents a new era within the field of gastroenterology, and the amount of research surrounding artificial intelligence in patients with inflammatory bowel disease is on the rise. As clinical trial outcomes and treatment targets evolve in inflammatory bowel disease, artificial intelligence may prove as a valuable tool for providing accurate, consistent, and reproducible evaluations of endoscopic appearance and histologic activity, thereby optimizing the diagnosis process and identifying disease severity. Furthermore, as the applications of artificial intelligence for inflammatory bowel disease continue to expand, they may present an ideal opportunity for improving disease management by predicting treatment response to biologic therapies and for refining the standard of care by setting the basis for future treatment personalization and cost reduction. The purpose of this review is to provide an overview of the unmet needs in the management of inflammatory bowel disease in clinical practice and how artificial intelligence tools can address these gaps to transform patient care. |
| first_indexed | 2024-03-12T17:52:07Z |
| format | Article |
| id | doaj.art-fdfe0c4054d64bcb9ff209ee4dac87af |
| institution | Directory Open Access Journal |
| issn | 1598-9100 2288-1956 |
| language | English |
| last_indexed | 2024-03-12T17:52:07Z |
| publishDate | 2023-07-01 |
| publisher | Korean Association for the Study of Intestinal Diseases |
| record_format | Article |
| series | Intestinal Research |
| spelling | doaj.art-fdfe0c4054d64bcb9ff209ee4dac87af2023-08-03T05:43:47ZengKorean Association for the Study of Intestinal DiseasesIntestinal Research1598-91002288-19562023-07-0121328329410.5217/ir.2023.00020999Artificial intelligence in inflammatory bowel disease: implications for clinical practice and future directionsHarris A. Ahmad0James E. East1Remo Panaccione2Simon Travis3James B. Canavan4Keith Usiskin5Michael F. Byrne6 Bristol Myers Squibb, Princeton, NJ, USA Translational Gastroenterology Unit, Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK Inflammatory Bowel Disease Clinic, University of Calgary, Calgary, AB, Canada Translational Gastroenterology Unit, Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK Bristol Myers Squibb, Princeton, NJ, USA Bristol Myers Squibb, Princeton, NJ, USA Division of Gastroenterology, Department of Medicine, University of British Columbia, Vancouver, BC, CanadaInflammatory bowel disease encompasses Crohn’s disease and ulcerative colitis and is characterized by uncontrolled, relapsing, and remitting course of inflammation in the gastrointestinal tract. Artificial intelligence represents a new era within the field of gastroenterology, and the amount of research surrounding artificial intelligence in patients with inflammatory bowel disease is on the rise. As clinical trial outcomes and treatment targets evolve in inflammatory bowel disease, artificial intelligence may prove as a valuable tool for providing accurate, consistent, and reproducible evaluations of endoscopic appearance and histologic activity, thereby optimizing the diagnosis process and identifying disease severity. Furthermore, as the applications of artificial intelligence for inflammatory bowel disease continue to expand, they may present an ideal opportunity for improving disease management by predicting treatment response to biologic therapies and for refining the standard of care by setting the basis for future treatment personalization and cost reduction. The purpose of this review is to provide an overview of the unmet needs in the management of inflammatory bowel disease in clinical practice and how artificial intelligence tools can address these gaps to transform patient care.http://irjournal.org/upload/pdf/ir-2023-00020.pdfartificial intelligenceinflammatory bowel diseasesendoscopy |
| spellingShingle | Harris A. Ahmad James E. East Remo Panaccione Simon Travis James B. Canavan Keith Usiskin Michael F. Byrne Artificial intelligence in inflammatory bowel disease: implications for clinical practice and future directions Intestinal Research artificial intelligence inflammatory bowel diseases endoscopy |
| title | Artificial intelligence in inflammatory bowel disease: implications for clinical practice and future directions |
| title_full | Artificial intelligence in inflammatory bowel disease: implications for clinical practice and future directions |
| title_fullStr | Artificial intelligence in inflammatory bowel disease: implications for clinical practice and future directions |
| title_full_unstemmed | Artificial intelligence in inflammatory bowel disease: implications for clinical practice and future directions |
| title_short | Artificial intelligence in inflammatory bowel disease: implications for clinical practice and future directions |
| title_sort | artificial intelligence in inflammatory bowel disease implications for clinical practice and future directions |
| topic | artificial intelligence inflammatory bowel diseases endoscopy |
| url | http://irjournal.org/upload/pdf/ir-2023-00020.pdf |
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