AIMC Topic: Gastrointestinal Hemorrhage
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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 ...
Deep learning to predict esophageal variceal bleeding based on endoscopic images.
The Journal of international medical research
Oct 1, 2023
OBJECTIVE: Esophageal varix (EV) bleeding is a particularly serious complications of cirrhosis. Prediction of EV bleeding requires extensive endoscopy experience; it remains unreliable and inefficient. This retrospective cohort study evaluated the fe...
Advancing care for acute gastrointestinal bleeding using artificial intelligence.
Journal of gastroenterology and hepatology
Feb 1, 2021
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...
Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.
The American journal of gastroenterology
Feb 1, 2021
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...
Kidney Diseases
Hydrothorax
Ascites
Gastrointestinal Agents
Logistic Models
Liver Cirrhosis
Support Vector Machine
Proton Pump Inhibitors
Infections
Hepatic Encephalopathy
Paracentesis
Water-Electrolyte Imbalance
Patient Readmission
Gastrointestinal Hemorrhage
Reproducibility of Results
Aged
Male
Cohort Studies
ROC Curve
Middle Aged
Severity of Illness Index
Humans
Machine Learning
Anti-Bacterial Agents
Female
Adrenergic beta-Antagonists
Clinical Decision Rules
End Stage Liver Disease
Mortality
Rifaximin
Lactulose
beta-Lactams
Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding.
BMJ health & care informatics
Jan 1, 2021
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...
Gastric vascular abnormalities: diagnosis and management.
Current opinion in gastroenterology
Nov 1, 2020
PURPOSE OF REVIEW: Gastric vascular abnormalities are a well known cause of gastrointestinal bleeding. Due to their recurrent bleeding tendency and potential to cause life-threatening blood loss, gastric vascular abnormalities can result in significa...
Explainable Machine Learning Model for Predicting GI Bleed Mortality in the Intensive Care Unit.
The American journal of gastroenterology
Oct 1, 2020
INTRODUCTION: Acute gastrointestinal (GI) bleed is a common reason for hospitalization with 2%-10% risk of mortality. In this study, we developed a machine learning (ML) model to calculate the risk of mortality in intensive care unit patients admitte...
Machine Learning Prognostic Models for Gastrointestinal Bleeding Using Electronic Health Record Data.
The American journal of gastroenterology
Aug 1, 2020
Risk assessment tools for patients with gastrointestinal bleeding may be used for determining level of care and informing management decisions. Development of models that use data from electronic health records is an important step for future deploym...
[Current status of AI diagnosis in upper gastrointestinal tract].
Nihon Shokakibyo Gakkai zasshi = The Japanese journal of gastro-enterology
Jan 1, 2020
Improving Acute GI Bleeding Management Through Artificial Intelligence: Unnatural Selection?
Digestive diseases and sciences
Aug 1, 2019
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