AIMC Topic: Gastrointestinal Hemorrhage

Clear Filters Showing 31 to 40 of 57 articles

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.
Helicobacter pylori Gastrointestinal Hemorrhage Duodenal Ulcer Recurrence Stomach Ulcer Prospective Studies Retrospective Studies Female Aged Adult Male Middle Aged Cohort Studies Follow-Up Studies Helicobacter Infections Humans Machine Learning
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...
Blood Urea Nitrogen Humans Endoscopy, Digestive System Machine Learning Thrombocytopenia Prospective Studies Liver Cirrhosis, Alcoholic Gastrointestinal Hemorrhage Hepatic Encephalopathy Platelet Count Severity of Illness Index Serum Albumin Ascites Hepatitis C, Chronic Female Alanine Transaminase Creatinine Liver Cirrhosis Aged Aspartate Aminotransferases Non-alcoholic Fatty Liver Disease Mass Screening Male Bilirubin Hemoglobins International Normalized Ratio Middle Aged Sodium Esophageal and Gastric Varices Risk Assessment
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...
ROC Curve Rectal Diseases Area Under Curve Gastrointestinal Hemorrhage Colonic Diseases Male Middle Aged Risk Assessment Severity of Illness Index Adolescent Aged Aged, 80 and over Young Adult Adult Decision Support Techniques Humans Prognosis Neural Networks, Computer Retrospective Studies Female Risk Factors
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...
Male Middle Aged Adolescent Cohort Studies Logistic Models Female Aged Aged, 80 and over Humans Young Adult Acute Disease Adult Machine Learning Medical Informatics Algorithms Gastrointestinal Hemorrhage Prognosis
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...
ROC Curve Body Mass Index Life Style Dietary Fiber Young Adult Constipation Adult Gastrointestinal Hemorrhage Humans Male Machine Learning Surveys and Questionnaires Female Adolescent Risk Factors
View on PubMed DOI

Noninvasive prediction of esophagogastric varices in hepatitis B: An extreme gradient boosting model based on ultrasound and serology.

World journal of gastroenterology Apr 7, 2025
BACKGROUND: Severe esophagogastric varices (EGVs) significantly affect prognosis of patients with hepatitis B because of the risk of life-threatening hemorrhage. Endoscopy is the gold standard for EGV detection but it is invasive, costly and carries ...
Machine Learning Biomarkers Prognosis Retrospective Studies Clinical Decision-Making Humans Ultrasonography Female Hepatitis B Adult Predictive Value of Tests Male Esophageal and Gastric Varices Middle Aged Gastrointestinal Hemorrhage Risk Assessment
View on PubMed DOI

Machine learning prediction of hepatic encephalopathy for long-term survival after transjugular intrahepatic portosystemic shunt in acute variceal bleeding.

World journal of gastroenterology Jan 28, 2025
BACKGROUND: Transjugular intrahepatic portosystemic shunt (TIPS) is an effective intervention for managing complications of portal hypertension, particularly acute variceal bleeding (AVB). While effective in reducing portal pressure and preventing re...
Kaplan-Meier Estimate Hepatic Encephalopathy Portasystemic Shunt, Transjugular Intrahepatic Hypertension, Portal Aged Humans Postoperative Complications Adult Machine Learning Male Logistic Models Retrospective Studies Middle Aged Treatment Outcome Female Risk Assessment Esophageal and Gastric Varices Risk Factors Gastrointestinal Hemorrhage
View on PubMed DOI

Artificial intelligence in detection of small bowel lesions and their bleeding risk: A new step forward.

World journal of gastroenterology May 14, 2024
The present letter to the editor is related to the study with the title "Automatic detection of small bowel (SB) lesions with different bleeding risk based on deep learning models". Capsule endoscopy (CE) is the main tool to assess SB diseases but it...
Humans Artificial Intelligence Risk Assessment Deep Learning Capsule Endoscopy Gastrointestinal Hemorrhage Intestine, Small
View on PubMed DOI

AI-assisted capsule endoscopy reading in suspected small bowel bleeding: a multicentre prospective study.

The Lancet. Digital health May 1, 2024
BACKGROUND: Capsule endoscopy reading is time consuming, and readers are required to maintain attention so as not to miss significant findings. Deep convolutional neural networks can recognise relevant findings, possibly exceeding human performances ...
Prospective Studies Female Aged Aged, 80 and over Adult Humans Neural Networks, Computer Artificial Intelligence Male Middle Aged Capsule Endoscopy Gastrointestinal Hemorrhage Intestine, Small
View on PubMed DOI
Popular Topics
Recent Journals