{"title":"Artificial intelligence in inflammatory bowel disease.","authors":"Jiaxuan Ran, Mingxia Zhou, Hongtao Wen","doi":"10.4103/sjg.sjg_46_25","DOIUrl":null,"url":null,"abstract":"<p><strong>Abstract: </strong>Inflammatory bowel disease (IBD) is a complex condition influenced by various intestinal factors. Advances in next-generation sequencing, high-throughput omics, and molecular network technologies have significantly accelerated research in this field. The emergence of artificial intelligence (AI) has further enhanced the efficient utilization and interpretation of datasets, enabling the discovery of clinically actionable insights. AI is now extensively applied in gastroenterology, where it aids in endoscopic analyses, including the diagnosis of colorectal cancer, precancerous polyps, gastrointestinal inflammatory lesions, and bleeding. Additionally, AI supports clinicians in patient stratification, predicting disease progression and treatment responses, and adjusting treatment plans in a timely manner. This approach not only reduces healthcare costs but also improves patient health and safety. This review outlines the principles of AI, the current research landscape, and future directions for its applications in IBD, with the goal of advancing targeted treatment strategies.</p>","PeriodicalId":48881,"journal":{"name":"Saudi Journal of Gastroenterology","volume":" ","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Saudi Journal of Gastroenterology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4103/sjg.sjg_46_25","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract: Inflammatory bowel disease (IBD) is a complex condition influenced by various intestinal factors. Advances in next-generation sequencing, high-throughput omics, and molecular network technologies have significantly accelerated research in this field. The emergence of artificial intelligence (AI) has further enhanced the efficient utilization and interpretation of datasets, enabling the discovery of clinically actionable insights. AI is now extensively applied in gastroenterology, where it aids in endoscopic analyses, including the diagnosis of colorectal cancer, precancerous polyps, gastrointestinal inflammatory lesions, and bleeding. Additionally, AI supports clinicians in patient stratification, predicting disease progression and treatment responses, and adjusting treatment plans in a timely manner. This approach not only reduces healthcare costs but also improves patient health and safety. This review outlines the principles of AI, the current research landscape, and future directions for its applications in IBD, with the goal of advancing targeted treatment strategies.
期刊介绍：
The Saudi Journal of Gastroenterology (SJG) is an open access peer-reviewed publication. Authors are invited to submit articles in the field of gastroenterology, hepatology and nutrition, with a wide spectrum of coverage including basic science, epidemiology, diagnostics, therapeutics, public health, and standards of health care in relation to the concerned specialty. Review articles are usually by invitation. However review articles of current interest and a high standard of scientific value could also be considered for publication.
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