AIMC Topic: Gastrointestinal Hemorrhage

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Deep learning to predict esophageal variceal bleeding based on endoscopic images.

The Journal of international medical research
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
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...

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

BMJ health & care informatics
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
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
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
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...

Ontologic Model of Diagnostics and Treatment of Gastrointestinal Bleedings of Unknown Origin.

Studies in health technology and informatics
The article presents the semantic model of diagnostics and treatment of patients with gastrointestinal bleedings when the reasons of bleeding cannot be establihed by means of a laboratory tests, endoscopy and colonoscopy.