AIMC Topic: Gastrointestinal Hemorrhage

Clear Filters Showing 31 to 40 of 61 articles

Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Oct 2, 2019
BACKGROUND AND AIM: Although small-bowel angioectasia is reported as the most common cause of bleeding in patients and frequently diagnosed by capsule endoscopy (CE) in patients with obscure gastrointestinal bleeding, a computer-aided detection metho...
Gastrointestinal Hemorrhage Intestine, Small Humans Middle Aged Neural Networks, Computer Deep Learning ROC Curve Retrospective Studies Predictive Value of Tests Female Capsule Endoscopy Aged Dilatation, Pathologic Male
View on PubMed DOI

Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.

Gastroenterology Sep 25, 2019
BACKGROUND & AIMS: Scoring systems are suboptimal for determining risk in patients with upper gastrointestinal bleeding (UGIB); these might be improved by a machine learning model. We used machine learning to develop a model to calculate the risk of ...
Humans Machine Learning Prognosis Models, Biological Gastrointestinal Hemorrhage Hemostatic Techniques Middle Aged Female Risk Assessment Aged ROC Curve Aged, 80 and over Blood Transfusion Adult Emergency Service, Hospital Male
View on PubMed DOI

Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review.

Digestive diseases and sciences May 4, 2019
Risk stratification of patients with gastrointestinal bleeding (GIB) is recommended, but current risk assessment tools have variable performance. Machine learning (ML) has promise to improve risk assessment. We performed a systematic review to evalua...
Clinical Decision-Making Female Risk Factors Aged Male Humans Neural Networks, Computer Machine Learning Decision Support Techniques Gastrointestinal Hemorrhage Hemostatic Techniques Middle Aged Risk Assessment Time Factors Treatment Outcome Patient Selection
View on PubMed DOI

Machine learning model to predict recurrent ulcer bleeding in patients with history of idiopathic gastroduodenal ulcer bleeding.

Alimentary pharmacology & therapeutics Feb 13, 2019
BACKGROUND: Patients with a history of Helicobacter pylori-negative idiopathic bleeding ulcers have an increased risk of recurring ulcer complications.
Stomach Ulcer Adult Male Middle Aged Cohort Studies Follow-Up Studies Helicobacter Infections Helicobacter pylori Gastrointestinal Hemorrhage Duodenal Ulcer Recurrence Machine Learning Prospective Studies Retrospective Studies Female Aged Humans
View on PubMed DOI

Machine Learning-based Development and Validation of a Scoring System for Screening High-Risk Esophageal Varices.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association Jan 29, 2019
BACKGROUND & AIMS: Many patients with cirrhosis who undergo esophagogastroduodenoscopy (EGD) screening for esophageal varices (EVs) are found to have no or only small EVs. Endoscopic screening for EVs is therefore a potentially deferrable procedure t...
Humans Machine Learning Prospective Studies Serum Albumin Female Blood Urea Nitrogen Aged Endoscopy, Digestive System Non-alcoholic Fatty Liver Disease Thrombocytopenia Hemoglobins Mass Screening Sodium Liver Cirrhosis, Alcoholic Alanine Transaminase International Normalized Ratio Male Platelet Count Gastrointestinal Hemorrhage Esophageal and Gastric Varices Middle Aged Aspartate Aminotransferases Hepatic Encephalopathy Hepatitis C, Chronic Risk Assessment Bilirubin Ascites Severity of Illness Index Creatinine Liver Cirrhosis
View on PubMed DOI

Problems of artificial neural network.

The Journal of surgical research Aug 12, 2017
Neural Networks, Computer Gastrointestinal Hemorrhage
View on PubMed DOI

Neural network prediction of severe lower intestinal bleeding and the need for surgical intervention.

The Journal of surgical research Dec 30, 2016
BACKGROUND: The prognosis for patients with severe acute lower intestinal bleeding (ALIB) may be assessed by complex artificial neural networks (ANNs) or user-friendly regression-based models. Comparisons between these modalities are limited, and pre...
Area Under Curve Gastrointestinal Hemorrhage Colonic Diseases Risk Assessment Severity of Illness Index Adolescent ROC Curve Prognosis Rectal Diseases Aged, 80 and over Retrospective Studies Young Adult Female Adult Risk Factors Humans Male Aged Neural Networks, Computer Middle Aged Decision Support Techniques
View on PubMed DOI

Prediction of Outcome in Acute Lower Gastrointestinal Bleeding Using Gradient Boosting.

PloS one Jul 14, 2015
BACKGROUND: There are no widely used models in clinical care to predict outcome in acute lower gastro-intestinal bleeding (ALGIB). If available these could help triage patients at presentation to appropriate levels of care/intervention and improve me...
Middle Aged Adolescent Cohort Studies Logistic Models Acute Disease Aged Humans Aged, 80 and over Medical Informatics Machine Learning Young Adult Algorithms Gastrointestinal Hemorrhage Prognosis Adult Female Male
View on PubMed DOI

Deep Learning-Enhanced CTA for Noninvasive Prediction of First Variceal Haemorrhage in Cirrhosis: A Multi-Centre Study.

Liver international : official journal of the International Association for the Study of the Liver Sep 1, 2025
BACKGROUND AND AIMS: The first variceal haemorrhage (FVH) is a life-threatening complication of liver cirrhosis that requires timely intervention; however, noninvasive tools for accurately predicting FVH remain limited. This study aimed to develop no...
Humans Retrospective Studies Female ROC Curve Liver Cirrhosis Predictive Value of Tests Esophageal and Gastric Varices Gastrointestinal Hemorrhage Aged Computed Tomography Angiography Adult Male Middle Aged Deep Learning
View on PubMed DOI

Nutritional and lifestyle predictors of rectal bleeding in functional constipation: A machine learning approach.

International journal of medical informatics Sep 1, 2025
BACKGROUND: Rectal bleeding among young adults is an increasingly common clinical concern often linked with chronic constipation and unhealthy lifestyle habits. Early identification of at-risk individuals through machine learning models-based approac...
Body Mass Index Humans Adult Dietary Fiber Machine Learning Male Constipation Female Surveys and Questionnaires Gastrointestinal Hemorrhage Adolescent Life Style Risk Factors ROC Curve Young Adult
View on PubMed DOI
Popular Topics
Recent Journals