ArticleJournal of gastroenterology and hepatology2021
Clinical applications of artificial intelligence and machine learning-based methods in inflammatory bowel disease.
Article in Journal of gastroenterology and hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Healthcare Providers' Perspectives on the Role of Artificial Intelligence in the Care of Patients with Inflammatory Bowel Disease: An International Survey.Digestive diseases and sciences · 2026Article
- A novel inflammatory bowel disease registry powered by artificial intelligence and natural language processing.PLOS digital health · 2026Article
- Review
- A Review of the Use of Mobile Health Interventions in Patients with Inflammatory Bowel Disease.Journal of multidisciplinary healthcare · 2026Review
- Prospects of AI-Powered Bowel Sound Analytics for Diagnosis, Characterization, and Treatment Management of Inflammatory Bowel Disease.Medical sciences (Basel, Switzerland) · 2025Review
- Artificial intelligence to revolutionize IBD clinical trials: a comprehensive review.Therapeutic advances in gastroenterology · 2025Review
- Artificial intelligence in inflammatory bowel disease: innovations in diagnosis, monitoring, and personalized care.Therapeutic advances in gastroenterology · 2025Review
- EUS in children with eosinophilic oesophagitis - a new method of measuring oesophageal total wall thickness area. An artificial intelligence application feasibility study. A pilot study.Journal of ultrasonography · 2024Article
- Precision Medicine in Inflammatory Bowel Disease: A Spotlight on Emerging Molecular Biomarkers.Biomedicines · 2024Review
- Artificial intelligence in inflammatory bowel disease: implications for clinical practice and future directions.Intestinal research · 2023Review
- The Role of Artificial Intelligence in Monitoring Inflammatory Bowel Disease-The Future Is Now.Diagnostics (Basel, Switzerland) · 2023Review
- Highlighting the Undetectable - Fluorescence Molecular Imaging in Gastrointestinal Endoscopy.Molecular imaging and biology · 2023Review
- A review on the use of machine learning techniques in monkeypox disease prediction.Science in One Health · 2023Review
- Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging.BMC medical informatics and decision making · 2022Article
- Application of Artificial Intelligence to Clinical Practice in Inflammatory Bowel Disease - What the Clinician Needs to Know.Journal of Crohn's & colitis · 2022Article
- The global research of artificial intelligence on inflammatory bowel disease: A bibliometric analysis.Digital healthArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Our objective was to review and exemplify how selected applications of artificial intelligence (AI) might facilitate and improve inflammatory bowel disease (IBD) care and to identify gaps for future work in this field. IBD is highly complex and associated with significant variation in care and outcomes. The application of AI to IBD has the potential to reduce variation in healthcare delivery and improve quality of care. AI refers to the ability of machines to mimic human intelligence. The range of AI's ability to perform tasks that would normally require human intelligence varies from prediction to complex decision-making that more closely resembles human thought. Clinical applications of AI have been applied to study pathogenesis, diagnosis, and patient prognosis in IBD. Despite these advancements, AI in IBD is in its early development and has tremendous potential to transform future care.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.