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Artificial Intelligence in Inflammatory Bowel Disease Endoscopy: Advanced Development and New Horizons
Inflammatory bowel disease (IBD) is a complex chronic immune disease with two subtypes: Crohn's disease and ulcerative colitis. Considering the differences in pathogenesis, etiology, clinical presentation, and response to therapy among patients, gastroenterologists mainly rely on endoscopy to d...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125749/ https://www.ncbi.nlm.nih.gov/pubmed/37101782 http://dx.doi.org/10.1155/2023/3228832 |
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author | Chang, Yu Wang, Zhi Sun, Hai-Bo Li, Yu-Qin Tang, Tong-Yu |
author_facet | Chang, Yu Wang, Zhi Sun, Hai-Bo Li, Yu-Qin Tang, Tong-Yu |
author_sort | Chang, Yu |
collection | PubMed |
description | Inflammatory bowel disease (IBD) is a complex chronic immune disease with two subtypes: Crohn's disease and ulcerative colitis. Considering the differences in pathogenesis, etiology, clinical presentation, and response to therapy among patients, gastroenterologists mainly rely on endoscopy to diagnose and treat IBD during clinical practice. However, as exemplified by the increasingly comprehensive ulcerative colitis endoscopic scoring system, the endoscopic diagnosis, evaluation, and treatment of IBD still rely on the subjective manipulation and judgment of endoscopists. In recent years, the use of artificial intelligence (AI) has grown substantially in various medical fields, and an increasing number of studies have investigated the use of this emerging technology in the field of gastroenterology. Clinical applications of AI have focused on IBD pathogenesis, etiology, diagnosis, and patient prognosis. Large-scale datasets offer tremendous utility in the development of novel tools to address the unmet clinical and practice needs for treating patients with IBD. However, significant differences among AI methodologies, datasets, and clinical findings limit the incorporation of AI technology into clinical practice. In this review, we discuss practical AI applications in the diagnosis of IBD via gastroenteroscopy and speculate regarding a future in which AI technology provides value for the diagnosis and treatment of IBD patients. |
format | Online Article Text |
id | pubmed-10125749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-101257492023-04-25 Artificial Intelligence in Inflammatory Bowel Disease Endoscopy: Advanced Development and New Horizons Chang, Yu Wang, Zhi Sun, Hai-Bo Li, Yu-Qin Tang, Tong-Yu Gastroenterol Res Pract Review Article Inflammatory bowel disease (IBD) is a complex chronic immune disease with two subtypes: Crohn's disease and ulcerative colitis. Considering the differences in pathogenesis, etiology, clinical presentation, and response to therapy among patients, gastroenterologists mainly rely on endoscopy to diagnose and treat IBD during clinical practice. However, as exemplified by the increasingly comprehensive ulcerative colitis endoscopic scoring system, the endoscopic diagnosis, evaluation, and treatment of IBD still rely on the subjective manipulation and judgment of endoscopists. In recent years, the use of artificial intelligence (AI) has grown substantially in various medical fields, and an increasing number of studies have investigated the use of this emerging technology in the field of gastroenterology. Clinical applications of AI have focused on IBD pathogenesis, etiology, diagnosis, and patient prognosis. Large-scale datasets offer tremendous utility in the development of novel tools to address the unmet clinical and practice needs for treating patients with IBD. However, significant differences among AI methodologies, datasets, and clinical findings limit the incorporation of AI technology into clinical practice. In this review, we discuss practical AI applications in the diagnosis of IBD via gastroenteroscopy and speculate regarding a future in which AI technology provides value for the diagnosis and treatment of IBD patients. Hindawi 2023-04-17 /pmc/articles/PMC10125749/ /pubmed/37101782 http://dx.doi.org/10.1155/2023/3228832 Text en Copyright © 2023 Yu Chang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Chang, Yu Wang, Zhi Sun, Hai-Bo Li, Yu-Qin Tang, Tong-Yu Artificial Intelligence in Inflammatory Bowel Disease Endoscopy: Advanced Development and New Horizons |
title | Artificial Intelligence in Inflammatory Bowel Disease Endoscopy: Advanced Development and New Horizons |
title_full | Artificial Intelligence in Inflammatory Bowel Disease Endoscopy: Advanced Development and New Horizons |
title_fullStr | Artificial Intelligence in Inflammatory Bowel Disease Endoscopy: Advanced Development and New Horizons |
title_full_unstemmed | Artificial Intelligence in Inflammatory Bowel Disease Endoscopy: Advanced Development and New Horizons |
title_short | Artificial Intelligence in Inflammatory Bowel Disease Endoscopy: Advanced Development and New Horizons |
title_sort | artificial intelligence in inflammatory bowel disease endoscopy: advanced development and new horizons |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125749/ https://www.ncbi.nlm.nih.gov/pubmed/37101782 http://dx.doi.org/10.1155/2023/3228832 |
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