Gastrointestinal Hemorrhage

Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding.

BMJ health & care informatics 33455913

OBJECTIVE: Gastrointestinal (GI) bleeding commonly requires intensive care unit (ICU) in cases of potentialhaemodynamiccompromise or likely urgent intervention. However, manypatientsadmitted to the ICU stop bleeding and do not require further interve...

Artificial Intelligence Blood Transfusion Female Gastrointestinal Hemorrhage Humans Intensive Care Units Male Prospective Studies ROC Curve

View on PubMed DOI

Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules.

Journal of gastroenterology and hepatology 33105045

BACKGROUND AND AIM: Guidelines recommend risk stratification scores in patients presenting with gastrointestinal bleeding (GIB), but such scores are uncommonly employed in practice. Automation and deployment of risk stratification scores in real time...

Acute Disease Algorithms Clinical Decision Rules Early Diagnosis Electronic Health Records Emergency Service, Hospital Female Gastrointestinal Hemorrhage Humans Male Middle Aged Natural Language Processing Risk Assessment Triage

View on PubMed DOI

Performance of a convolutional neural network for automatic detection of blood and hematic residues in small bowel lumen.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver 33637434

Capsule Endoscopy Gastrointestinal Hemorrhage Humans Intestine, Small Neural Networks, Computer ROC Curve

View on PubMed DOI

Advancing care for acute gastrointestinal bleeding using artificial intelligence.

Journal of gastroenterology and hepatology 33624892

The future of gastrointestinal bleeding will include the integration of machine learning algorithms to enhance clinician risk assessment and decision making. Machine learning algorithms have shown promise in outperforming existing clinical risk score...

Acute Disease Decision Making Delivery of Health Care Electronic Health Records Endoscopy, Gastrointestinal Gastrointestinal Hemorrhage Hemostasis Humans Machine Learning Neural Networks, Computer Outpatients Risk Risk Assessment Triage

View on PubMed DOI

Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology 33038139

INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...

Adrenergic beta-Antagonists Aged Anti-Bacterial Agents Ascites beta-Lactams Clinical Decision Rules Cohort Studies End Stage Liver Disease Female Gastrointestinal Agents Gastrointestinal Hemorrhage Hepatic Encephalopathy Humans Hydrothorax Infections Kidney Diseases Lactulose Liver Cirrhosis Logistic Models Machine Learning Male Middle Aged Mortality Paracentesis Patient Readmission Proton Pump Inhibitors Reproducibility of Results Rifaximin ROC Curve Severity of Illness Index Support Vector Machine Water-Electrolyte Imbalance

View on PubMed DOI

Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging.

Journal of digital imaging 33728563

PURPOSE: The objective of this paper was to develop a computer-aided diagnostic (CAD) tools for automated analysis of capsule endoscopic (CE) images, more precisely, detect small intestinal abnormalities like bleeding.

Capsule Endoscopy Deep Learning Gastrointestinal Hemorrhage Humans Image Processing, Computer-Assisted Intestine, Small Neural Networks, Computer

View on PubMed DOI

Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit.

Scientific reports 33893364

Acute gastrointestinal bleeding is the most common gastrointestinal cause for hospitalization. For high-risk patients requiring intensive care unit stay, predicting transfusion needs during the first 24 h using dynamic risk assessment may improve res...

Adult Aged Aged, 80 and over Cohort Studies Erythrocyte Transfusion Female Gastrointestinal Hemorrhage Humans Intensive Care Units Male Middle Aged Neural Networks, Computer Patient Admission Reproducibility of Results Risk Assessment

View on PubMed DOI

Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment.

JAMA network open 34019087

IMPORTANCE: Anticipating the risk of gastrointestinal bleeding (GIB) when initiating antithrombotic treatment (oral antiplatelets or anticoagulants) is limited by existing risk prediction models. Machine learning algorithms may result in superior pre...

Adolescent Adult Aged Aged, 80 and over Anticoagulants Antifibrinolytic Agents Atrial Fibrillation Clinical Decision-Making Cohort Studies Cross-Sectional Studies Female Fibrinolytic Agents Gastrointestinal Hemorrhage Humans Machine Learning Male Middle Aged Myocardial Ischemia Predictive Value of Tests Retrospective Studies Risk Assessment Thienopyridines United States Venous Thromboembolism Young Adult

View on PubMed DOI

Application of machine learning to predict postoperative gastrointestinal bleed in bariatric surgery.

Surgical endoscopy 37311893

BACKGROUND: Postoperative gastrointestinal bleeding (GIB) is a rare but serious complication of bariatric surgery. The recent rise in extended venous thromboembolism regimens as well as outpatient bariatric surgery may increase the risk of postoperat...

Bariatric Surgery Gastrointestinal Hemorrhage Humans Logistic Models Machine Learning Postoperative Hemorrhage Retrospective Studies

View on PubMed DOI

Achieving Value by Risk Stratification With Machine Learning Model or Clinical Risk Score in Acute Upper Gastrointestinal Bleeding: A Cost Minimization Analysis.

The American journal of gastroenterology 37753930

INTRODUCTION: We estimate the economic impact of applying risk assessment tools to identify very low-risk patients with upper gastrointestinal bleeding who can be safely discharged from the emergency department using a cost minimization analysis.

Acute Disease Costs and Cost Analysis Gastrointestinal Hemorrhage Humans Machine Learning Risk Assessment Risk Factors Severity of Illness Index

View on PubMed DOI

AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding.

Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules.

Performance of a convolutional neural network for automatic detection of blood and hematic residues in small bowel lumen.

Advancing care for acute gastrointestinal bleeding using artificial intelligence.

Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

Deep Transfer Learning for Automated Intestinal Bleeding Detection in Capsule Endoscopy Imaging.

Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit.

Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment.

Application of machine learning to predict postoperative gastrointestinal bleed in bariatric surgery.

Achieving Value by Risk Stratification With Machine Learning Model or Clinical Risk Score in Acute Upper Gastrointestinal Bleeding: A Cost Minimization Analysis.

Popular Topics

Recent Journals