AIMC Topic: Inflammatory Bowel Diseases
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Machine and deep learning in inflammatory bowel disease.
Current opinion in gastroenterology
May 8, 2023
PURPOSE OF REVIEW: The Management of inflammatory bowel disease (IBD) has evolved with the introduction and widespread adoption of biologic agents; however, the advent of artificial intelligence technologies like machine learning and deep learning pr...
[Development of the use of artificial intelligence in the management of chronic inflammatory bowel disease].
Annales de pathologie
Mar 28, 2023
Complexity of inflammatory bowel diseases (IBD) lies on their management and their biology. Clinics, blood and fecal samples tests, endoscopy and histology are the main tools guiding IBD treatment, but they generate a large amount of data, difficult ...
IBD: An Interpretable Backdoor-Detection Method via Multivariate Interactions.
Sensors (Basel, Switzerland)
Nov 10, 2022
Recent work has shown that deep neural networks are vulnerable to backdoor attacks. In comparison with the success of backdoor-attack methods, existing backdoor-defense methods face a lack of theoretical foundations and interpretable solutions. Most ...
New endoscopic tools in inflammatory bowel disease.
United European gastroenterology journal
Oct 12, 2022
Endoscopic remission is now considered the ultimate long-term goal for treating inflammatory bowel disease (IBD). Recent advances in endoscopic techniques have progressively added new tools to the armamentarium of endoscopists for a deeper assessment...
MB-SupCon: Microbiome-based Predictive Models via Supervised Contrastive Learning.
Journal of molecular biology
Jun 28, 2022
Human microbiome consists of trillions of microorganisms. Microbiota can modulate the host physiology through molecule and metabolite interactions. Integrating microbiome and metabolomics data have the potential to predict different diseases more acc...
Simplified Machine Learning Models Can Accurately Identify High-Need High-Cost Patients With Inflammatory Bowel Disease.
Clinical and translational gastroenterology
Jun 7, 2022
INTRODUCTION: Hospitalization is the primary driver of inflammatory bowel disease (IBD)-related healthcare costs and morbidity. Traditional prediction models have poor performance at identifying patients at highest risk of unplanned healthcare utiliz...
Systematic review of artificial intelligence-based image diagnosis for inflammatory bowel disease.
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Jun 1, 2022
OBJECTIVES: Diagnosis of inflammatory bowel diseases (IBD) involves combining clinical, laboratory, endoscopic, histologic, and radiographic data. Artificial intelligence (AI) is rapidly being developed in various fields of medicine, including IBD. B...
Real-World Guidance from Artificial Intelligence? Predicting Outcomes of Inflammatory Bowel Disease Using Machine Learning.
Digestive diseases and sciences
May 3, 2022
Artificial Intelligence for Inflammatory Bowel Diseases (IBD); Accurately Predicting Adverse Outcomes Using Machine Learning.
Digestive diseases and sciences
Apr 27, 2022
BACKGROUND: Inflammatory Bowel Diseases with its complexity and heterogeneity could benefit from the increased application of Artificial Intelligence in clinical management.
Computational models in inflammatory bowel disease.
Clinical and translational science
Feb 5, 2022
Inflammatory bowel disease (IBD) is a chronic and relapsing disease with multiple underlying influences and notable heterogeneity among its clinical and response-to-treatment phenotypes. There is no cure for IBD, and none of the currently available t...
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