{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T05:51:08Z","timestamp":1777269068317,"version":"3.51.4"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,4,26]]},"DOI":"10.7759\/cureus.107770","type":"journal-article","created":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T05:29:17Z","timestamp":1777267757000},"source":"Crossref","is-referenced-by-count":0,"title":["Predicting Inflammatory Bowel Disease Flares Using Artificial Intelligence and Remote Monitoring: Toward Proactive Disease Management"],"prefix":"10.7759","author":[{"given":"Mohammad","family":"Alali","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mouhammad","family":"Alyounes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad","family":"Alkhaleel alomar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/ibd\/izab192","article-title":"What is a flare? The Manitoba living With IBD study","volume":"28","author":"Witges K","year":"2022","unstructured":"Witges K, Sexton K, Graff LA, et al.. What is a flare? The Manitoba living With IBD study. Inflamm Bowel Dis. 2022, 28:862-9. 10.1093\/ibd\/izab192","journal-title":"Inflamm Bowel Dis"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1186\/s13062-020-00280-5","article-title":"Pathophysiology of Crohn's disease inflammation and recurrence","volume":"15","author":"Petagna L","year":"2020","unstructured":"Petagna L, Antonelli A, Ganini C, et al.. Pathophysiology of Crohn's disease inflammation and recurrence. Biol Direct. 2020, 15:23. 10.1186\/s13062-020-00280-5","journal-title":"Biol Direct"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2020.12.031","article-title":"STRIDE-II: An update on the Selecting Therapeutic Targets in Inflammatory Bowel Disease (STRIDE) Initiative of the International Organization for the Study of IBD (IOIBD): determining therapeutic goals for treat-to-target strategies in IBD","volume":"160","author":"Turner D","year":"2021","unstructured":"Turner D, Ricciuto A, Lewis A, et al.. STRIDE-II: An update on the Selecting Therapeutic Targets in Inflammatory Bowel Disease (STRIDE) Initiative of the International Organization for the Study of IBD (IOIBD): determining therapeutic goals for treat-to-target strategies in IBD. Gastroenterology. 2021, 160:1570-83. 10.1053\/j.gastro.2020.12.031","journal-title":"Gastroenterology"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cca.2020.08.025","article-title":"Calprotectin in inflammatory bowel disease","volume":"510","author":"Khaki-Khatibi F","year":"2020","unstructured":"Khaki-Khatibi F, Qujeq D, Kashifard M, Moein S, Maniati M, Vaghari-Tabari M. Calprotectin in inflammatory bowel disease. Clin Chim Acta. 2020, 510:556-65. 10.1016\/j.cca.2020.08.025","journal-title":"Clin Chim Acta"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/jgh3.13059","article-title":"Clinical utility of C-reactive protein-to-albumin ratio in the management of patients with inflammatory bowel disease","volume":"8","author":"Nguyen AL","year":"2024","unstructured":"Nguyen AL, Brick C, Liu D, Gibson DJ, Gibson PR, Sparrow MP. Clinical utility of C-reactive protein-to-albumin ratio in the management of patients with inflammatory bowel disease. JGH Open. 2024, 8:e13059. 10.1002\/jgh3.13059","journal-title":"JGH Open"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1159\/000527846","article-title":"Positioning and usefulness of biomarkers in inflammatory bowel disease","volume":"104","author":"Sakurai T","year":"2023","unstructured":"Sakurai T, Saruta M. Positioning and usefulness of biomarkers in inflammatory bowel disease. Digestion. 2023, 104:30-41. 10.1159\/000527846","journal-title":"Digestion"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1111\/jgh.15405","article-title":"Clinical applications of artificial intelligence and machine learning-based methods in inflammatory bowel disease","volume":"36","author":"Cohen-Mekelburg S","year":"2021","unstructured":"Cohen-Mekelburg S, Berry S, Stidham RW, Zhu J, Waljee AK. Clinical applications of artificial intelligence and machine learning-based methods in inflammatory bowel disease. J Gastroenterol Hepatol. 2021, 36:279-85. 10.1111\/jgh.15405","journal-title":"J Gastroenterol Hepatol"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.12968\/bjon.2021.30.7.394","article-title":"Using e-health tools and PROMs to support self-management in patients with inflammatory bowel disease","volume":"30","author":"Avery P","year":"2021","unstructured":"Avery P. Using e-health tools and PROMs to support self-management in patients with inflammatory bowel disease. Br J Nurs. 2021, 30:394-402. 10.12968\/bjon.2021.30.7.394","journal-title":"Br J Nurs"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s12955-023-02087-0","article-title":"Implementing electronic patient reported outcomes in inflammatory bowel disease: patient participation, score reliability and validity","volume":"21","author":"Deutscher D","year":"2023","unstructured":"Deutscher D, Weil C, Chodick G, Tsukinovsky S, Bodger K, Waterman M, Kariv R. Implementing electronic patient reported outcomes in inflammatory bowel disease: patient participation, score reliability and validity. Health Qual Life Outcomes. 2023, 21:2. 10.1186\/s12955-023-02087-0","journal-title":"Health Qual Life Outcomes"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/ecco-jcc\/jjac099","article-title":"Patient-reported outcomes: the ICHOM standard set for inflammatory bowel disease in real-life practice helps quantify deficits in current care","volume":"16","author":"Wong D","year":"2022","unstructured":"Wong D, Matini L, Kormilitzin A, et al.. Patient-reported outcomes: the ICHOM standard set for inflammatory bowel disease in real-life practice helps quantify deficits in current care. J Crohns Colitis. 2022, 16:1874-81. 10.1093\/ecco-jcc\/jjac099","journal-title":"J Crohns Colitis"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10753-023-01827-0","article-title":"Performance of machine learning algorithms for predicting disease activity in inflammatory bowel disease","volume":"46","author":"Cai W","year":"2023","unstructured":"Cai W, Xu J, Chen Y, Wu X, Zeng Y, Yu F. Performance of machine learning algorithms for predicting disease activity in inflammatory bowel disease. Inflammation. 2023, 46:1561-74. 10.1007\/s10753-023-01827-0","journal-title":"Inflammation"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10620-022-07506-8","article-title":"Artificial intelligence for inflammatory bowel diseases (IBD); accurately predicting adverse outcomes using machine learning","volume":"67","author":"Zand A","year":"2022","unstructured":"Zand A, Stokes Z, Sharma A, van Deen WK, Hommes D. Artificial intelligence for inflammatory bowel diseases (IBD); accurately predicting adverse outcomes using machine learning. Dig Dis Sci. 2022, 67:4874-85. 10.1007\/s10620-022-07506-8","journal-title":"Dig Dis Sci"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/jpm12060947","article-title":"Development of a machine learning model to predict non-durable response to anti-TNF therapy in Crohn's disease using transcriptome imputed from genotypes","volume":"12","author":"Park SK","year":"2022","unstructured":"Park SK, Kim YB, Kim S, et al.. Development of a machine learning model to predict non-durable response to anti-TNF therapy in Crohn's disease using transcriptome imputed from genotypes. J Pers Med. 2022, 12:947. 10.3390\/jpm12060947","journal-title":"J Pers Med"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/iid3.506","article-title":"Machine learning gene expression predicting model for ustekinumab response in patients with Crohn's disease","volume":"9","author":"He M","year":"2021","unstructured":"He M, Li C, Tang W, Kang Y, Zuo Y, Wang Y. Machine learning gene expression predicting model for ustekinumab response in patients with Crohn's disease. Immun Inflamm Dis. 2021, 9:1529-40. 10.1002\/iid3.506","journal-title":"Immun Inflamm Dis"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/ibd\/izac105","article-title":"Feasibility of a clinical decision support tool for ustekinumab to predict clinical remission and relapse in patients with Crohn's disease: a multicenter observational study","volume":"29","author":"Park J","year":"2023","unstructured":"Park J, Chun J, Yoon H, Cheon JH. Feasibility of a clinical decision support tool for ustekinumab to predict clinical remission and relapse in patients with Crohn's disease: a multicenter observational study. Inflamm Bowel Dis. 2023, 29:548-54. 10.1093\/ibd\/izac105","journal-title":"Inflamm Bowel Dis"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.14309\/ajg.0000000000002828","article-title":"Artificial intelligence for quantifying cumulative small bowel disease severity on CT-enterography in Crohn's disease","volume":"119","author":"Stidham RW","year":"2024","unstructured":"Stidham RW, Enchakalody B, Wang SC, Su GL, Ross B, Al-Hawary M, Wasnik AP. Artificial intelligence for quantifying cumulative small bowel disease severity on CT-enterography in Crohn's disease. Am J Gastroenterol. 2024, 119:1885-93. 10.14309\/ajg.0000000000002828","journal-title":"Am J Gastroenterol"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2023.02.031","article-title":"Artificial intelligence enabled histological prediction of remission or activity and clinical outcomes in ulcerative colitis","volume":"164","author":"Iacucci M","year":"2023","unstructured":"Iacucci M, Parigi TL, Del Amor R, et al.. Artificial intelligence enabled histological prediction of remission or activity and clinical outcomes in ulcerative colitis. Gastroenterology. 2023, 164:1180-88.e2. 10.1053\/j.gastro.2023.02.031","journal-title":"Gastroenterology"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(17)31327-2","article-title":"Telemedicine for management of inflammatory bowel disease (myIBDcoach): a pragmatic, multicentre, randomized controlled trial","volume":"390","author":"De Jong MJ","year":"2017","unstructured":"De Jong MJ, van der Meulen-de Jong AE, Romberg-Camps MJ, et al.. Telemedicine for management of inflammatory bowel disease (myIBDcoach): a pragmatic, multicentre, randomized controlled trial. Lancet. 2017, 390:959-68. 10.1016\/S0140-6736(17)31327-2","journal-title":"Lancet"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.acap.2021.12.029","article-title":"Interpreting patient-reported outcome scores: pediatric inflammatory bowel disease as a use case","volume":"22","author":"Schuchard J","year":"2022","unstructured":"Schuchard J, Carle AC, Kappelman MD, Tucker CA, Forrest CB. Interpreting patient-reported outcome scores: pediatric inflammatory bowel disease as a use case. Acad Pediatr. 2022, 22:1520-8. 10.1016\/j.acap.2021.12.029","journal-title":"Acad Pediatr"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3928\/19382359-20230720-04","article-title":"Fecal calprotectin in predicting relapse of inflammatory bowel disease in children and adolescents: a meta-analysis and systematic review","volume":"52","author":"Hu T","year":"2023","unstructured":"Hu T, Wang W, Song F, Zhang W, Yang J. Fecal calprotectin in predicting relapse of inflammatory bowel disease in children and adolescents: a meta-analysis and systematic review. Pediatr Ann. 2023, 52:e357-62. 10.3928\/19382359-20230720-04","journal-title":"Pediatr Ann"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10620-026-09750-8","article-title":"Advancing predictive modeling of inflammatory bowel disease (IBD) flares: a data-driven approach using lifestyle and psychosocial factors from a remote monitoring platform (online ahead of print)","author":"Okegunna Y","year":"2026","unstructured":"Okegunna Y, Sekar M, Adriaans GM, et al.. Advancing predictive modeling of inflammatory bowel disease (IBD) flares: a data-driven approach using lifestyle and psychosocial factors from a remote monitoring platform (online ahead of print). Dig Dis Sci. 2026, 10.1007\/s10620-026-09750-8","journal-title":"Dig Dis Sci"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1136\/bmj-2023-078378","article-title":"TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods","volume":"385","author":"Collins GS","year":"2024","unstructured":"Collins GS, Moons KG, Dhiman P, et al.. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ. 2024, 385:e078378. 10.1136\/bmj-2023-078378","journal-title":"BMJ"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1093\/ibd\/izae048","article-title":"Beyond discrimination: a call for comprehensive assessment of clinical prediction models in inflammatory bowel disease","volume":"30","author":"Alsoud D","year":"2024","unstructured":"Alsoud D, Van Calster B. Beyond discrimination: a call for comprehensive assessment of clinical prediction models in inflammatory bowel disease. Inflamm Bowel Dis. 2024, 30:1050-1. 10.1093\/ibd\/izae048","journal-title":"Inflamm Bowel Dis"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.i6","article-title":"Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests","volume":"352","author":"Vickers AJ","year":"2016","unstructured":"Vickers AJ, Van Calster B, Steyerberg EW. Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests. BMJ. 2016, 352:i6. 10.1136\/bmj.i6","journal-title":"BMJ"}],"container-title":["Cureus"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cureus.com\/articles\/483410-predicting-inflammatory-bowel-disease-flares-using-artificial-intelligence-and-remote-monitoring-toward-proactive-disease-management","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T05:29:18Z","timestamp":1777267758000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cureus.com\/articles\/483410-predicting-inflammatory-bowel-disease-flares-using-artificial-intelligence-and-remote-monitoring-toward-proactive-disease-management"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,26]]},"references-count":24,"URL":"https:\/\/doi.org\/10.7759\/cureus.107770","relation":{},"ISSN":["2168-8184"],"issn-type":[{"value":"2168-8184","type":"print"}],"subject":[],"published":{"date-parts":[[2026,4,26]]}}}