ArticleGastroenterology2024
Machine Learning-Based Prediction of Pediatric Ulcerative Colitis Treatment Response Using Diagnostic Histopathology.
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Article in Gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
What it found
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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.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence-enabled histology exhibits comparable accuracy to pathologists in assessing histological remission in ulcerative colitis: a systematic review, meta-analysis, and meta-regression.Journal of Crohn's & colitis · 2025Pooled it
- Artificial intelligence in inflammatory bowel disease: From current evidence, clinical translation, and the road to precision medicine.Chinese medical journal · 2026Review
- Artificial intelligence in inflammatory bowel disease: bridging innovation, implementation and impact.Nature reviews. Gastroenterology & hepatology · 2026Review
- Microbiome-metabolome generated bile acids gatekeep infliximab efficacy in Crohn's disease by licensing M1 suppression and Treg dominance.Journal of advanced research · 2026Observational
- Multimodal deep learning for inflammatory bowel disease: a new frontier in cellular and molecular biomarker discovery to clinical translation.Journal of biological engineering · 2026Review
- Artificial Intelligence in Pediatric Inflammatory Bowel Disease: Applications in Diagnosis, Monitoring, and Therapeutic Decision-Making.Children (Basel, Switzerland) · 2026Review
- Artificial Intelligence-Enabled Clinical Trials in Inflammatory Bowel Disease: Automating and Enhancing Disease Assessment and Study Management.Gastroenterology · 2025Review
- Artificial intelligence to revolutionize IBD clinical trials: a comprehensive review.Therapeutic advances in gastroenterology · 2025Review
- Rediscovering histology - the application of artificial intelligence in inflammatory bowel disease histologic assessment.Therapeutic advances in gastroenterology · 2025Review
- Digital biomarkers and artificial intelligence: a new frontier in personalized management of inflammatory bowel disease.Frontiers in immunology · 2025Review
- Artificial intelligence: A new tool in the pathologist's armamentarium for the diagnosis of IBD.Computational and structural biotechnology journal · 2024Review
- Artificial intelligence enabled histological scoring in ulcerative colitis: Are we ready yet?United European gastroenterology journal · 2024Article
- Artificial intelligence-enabled advanced endoscopic imaging to assess deep healing in inflammatory bowel disease.eGastroenterology · 2024Review
- The Role of Artificial Intelligence in the Diagnosis and Treatment of Ulcerative Colitis.Diagnostics (Basel, Switzerland) · 2024Review
- AI and endoscopy/histology in UC: the rise of machine.Therapeutic advances in gastroenterology · 2024Review
Corrections and comments
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Authors and funding
7 authors.
Xiaoxuan LiuDivision of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Biomedical Informatics, University of Cincinnati, Cincinnati, Ohio.
Surya PrasathDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Biomedical Informatics, University of Cincinnati, Cincinnati, Ohio.
Iram SiddiquiDepartment of Paediatric Laboratory Medicine and Pathobiology, Division of Pathology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Thomas D WaltersSickKids IBD Centre, Division of Gastroenterology, Hepatology and Nutrition, The Hospital for Sick Children, Toronto, Ontario, Canada; Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada.
Lee A DensonDivision of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio.
PROTECT Consortium
Jasbir DhaliwalDivision of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Biomedical Informatics, University of Cincinnati, Cincinnati, Ohio; Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, Ohio. Electronic address: Jasbir.dhaliwal@cchmc.org.
Funding
Stem Cell/Organoid and Genome Editing CoreP30DK078392 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI Alexander Miethke · 2007 to 2026
$24.4MPredicting Response to Standardized Pediatric Colitis Therapy: PROTECT StudyU01DK095745 · NIDDK · CONNECTICUT CHILDREN'S MEDICAL CENTER · PI DENSON, LEE ARMISTEAD, HYAMS, JEFFREY SAMUEL · 2012 to 2016
$10.4MNIDDK NIH HHS P30 DK078392NIDDK NIH HHS U01 DK095745
Abstract
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Indexed as
Colitis, UlcerativeMachine LearningAdolescentBiopsyChildColonColonoscopyFemaleGastrointestinal AgentsHumansMalePredictive Value of TestsRemission InductionTreatment OutcomeGastrointestinal Agents
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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.