AIMC Topic: Gastrointestinal Tract
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An application of deep learning model InceptionTime to predict nausea, vomiting, diarrhoea, and constipation using the gastro-intestinal pacemaker activity drug database (GIPADD).
Scientific reports
Apr 16, 2025
The accurate preclinical prediction of adverse drug reactions (ADRs), such as nausea and vomiting, remains a challenge. The Gastro-Intestinal Pacemaker Activity Drug Database (GIPADD) ( http://www.gutrhythm.com/public_database ) is a new source of el...
Gastrointestinal Tract
Constipation
Nausea
Feasibility Studies
Drug-Related Side Effects and Adverse Reactions
Electrodiagnosis
Digestive System Diseases
Predictive Learning Models
Databases, Pharmaceutical
Biological Clocks
Vomiting
Deep Learning
Humans
Big Data
Reproducibility of Results
ROC Curve
Area Under Curve
Diarrhea
4-Hydroxyboesenbergin B of Alpinia japonica protected gastrointestinal tract by inhibiting vancomycin-resistant enterococcus and balancing intestinal microbiota.
Journal of ethnopharmacology
Apr 1, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: Alpinia japonica, a traditional herb utilized in Miao medicine in southwestern China, has been employed to alleviate symptoms such as stomachache, diarrhea, and abdominal pain, some of these symptoms may be associated ...
S2P-Matching: Self-Supervised Patch-Based Matching Using Transformer for Capsule Endoscopic Images Stitching.
IEEE transactions on bio-medical engineering
Jan 21, 2025
The Magnetically Controlled Capsule Endoscopy (MCCE) has a limited shooting range, resulting in capturing numerous fragmented images and an inability to precisely locate and examine the region of interest (ROI) as traditional endoscopy can. Addressin...
Artificial Intelligence in Gastrointestinal Imaging: Advances and Applications.
Radiologic clinics of North America
Jan 4, 2025
While artificial intelligence (AI) has shown considerable progress in many areas of medical imaging, applications in abdominal imaging, particularly for the gastrointestinal (GI) system, have notably lagged behind advancements in other body regions. ...
Identification of Key Genes in Fetal Gut Development at Single-Cell Level by Exploiting Machine Learning Techniques.
Proteomics
Sep 26, 2024
The study of fetal gut development is critical due to its substantial influence on immediate neonatal and long-term adult health. Current research largely focuses on microbiome colonization, gut immunity, and barrier function, alongside the impact of...
Towards reliable data: Validation of a machine learning-based approach for microplastics analysis in marine organisms using Nile red staining.
Marine pollution bulletin
Sep 5, 2024
Microplastic (MP) research faces challenges due to costly, time-consuming, and error-prone analysis techniques. Additionally, the variability in data quality across studies limits their comparability. This study addresses the critical need for reliab...
Addressing the Contrast Media Recognition Challenge: A Fully Automated Machine Learning Approach for Predicting Contrast Phases in CT Imaging.
Investigative radiology
Mar 4, 2024
OBJECTIVES: Accurately acquiring and assigning different contrast-enhanced phases in computed tomography (CT) is relevant for clinicians and for artificial intelligence orchestration to select the most appropriate series for analysis. However, this i...
Advancing Artificial Intelligence Integration Into the Pathology Workflow: Exploring Opportunities in Gastrointestinal Tract Biopsies.
Laboratory investigation; a journal of technical methods and pathology
Feb 29, 2024
This review aims to present a comprehensive overview of the current landscape of artificial intelligence (AI) applications in the analysis of tubular gastrointestinal biopsies. These publications cover a spectrum of conditions, ranging from inflammat...
Ethical Implications of Artificial Intelligence in Gastroenterology.
Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
Jan 24, 2024
Untethered shape-changing devices in the gastrointestinal tract.
Expert opinion on drug delivery
Dec 29, 2023
INTRODUCTION: Advances in microfabrication, automation, and computer engineering seek to revolutionize small-scale devices and machines. Emerging trends in medicine point to smart devices that emulate the motility, biosensing abilities, and intellige...
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