AIMC Topic: Hemorrhage

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Development of a simplified model and nomogram for the prediction of pulmonary hemorrhage in respiratory distress syndrome in extremely preterm infants.

BMC pediatrics Nov 21, 2024
BACKGROUND: Pulmonary hemorrhage (PH) in respiratory distress syndrome (RDS) in extremely preterm infants exhibits a high mortality rate and poor long-term outcomes. The aim of the present study was to develop a machine learning (ML) predictive model...
Humans Machine Learning Retrospective Studies Nomograms Lung Diseases Hemorrhage Respiratory Distress Syndrome, Newborn Female Infant, Newborn Male Infant, Extremely Premature
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Predicting Individual Treatment Effects to Determine Duration of Dual Antiplatelet Therapy After Stent Implantation.

Journal of the American Heart Association Sep 30, 2024
BACKGROUND: After coronary stent implantation, prolonged dual antiplatelet therapy (DAPT) increases bleeding risk, requiring personalization of DAPT duration. The aim of this study was to develop and validate a machine learning model to predict optim...
Dual Anti-Platelet Therapy Time Factors Treatment Outcome Percutaneous Coronary Intervention Coronary Artery Disease Hemorrhage Drug Administration Schedule Platelet Aggregation Inhibitors Aged Humans Drug-Eluting Stents Male Machine Learning Middle Aged Female Risk Assessment Risk Factors
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A machine learning-based Coagulation Risk Index predicts acute traumatic coagulopathy in bleeding trauma patients.

The journal of trauma and acute care surgery Sep 27, 2024
BACKGROUND: Acute traumatic coagulopathy (ATC) is a well-described phenomenon known to begin shortly after injury. This has profound implications for resuscitation from hemorrhagic shock, as ATC is associated with increased risk for massive transfusi...
Blood Transfusion International Normalized Ratio Hemorrhage Blood Coagulation Disorders Wounds and Injuries Trauma Centers Adult Male Middle Aged Risk Assessment Humans Machine Learning Female
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Prediction model for major bleeding in anticoagulated patients with cancer-associated venous thromboembolism using machine learning and natural language processing.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico Sep 14, 2024
PURPOSE: We developed a predictive model to assess the risk of major bleeding (MB) within 6 months of primary venous thromboembolism (VTE) in cancer patients receiving anticoagulant treatment. We also sought to describe the prevalence and incidence o...
Adult Male Middle Aged Risk Assessment Retrospective Studies Female Aged Aged, 80 and over Anticoagulants Hemorrhage Venous Thromboembolism Spain Neoplasms Prevalence Incidence Natural Language Processing Humans Machine Learning
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Integrating chemokines and machine learning algorithms for diagnosis and bleeding assessment in primary immune thrombocytopenia: A prospective cohort study.

British journal of haematology Sep 10, 2024
Primary immune thrombocytopenia (ITP) is an autoimmune bleeding disorder, and chemokines have been shown to be dysregulated in autoimmune disorders. We conducted a prospective analysis to identify potential chemokines that could enhance the diagnosti...
Male Middle Aged Biomarkers Female Purpura, Thrombocytopenic, Idiopathic Aged Hemorrhage Humans Adult Chemokines Machine Learning Algorithms Prospective Studies
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Danger, Danger, Gaston Labat! Does zero-shot artificial intelligence correlate with anticoagulation guidelines recommendations for neuraxial anesthesia?

Regional anesthesia and pain medicine Sep 2, 2024
INTRODUCTION: Artificial intelligence and large language models (LLMs) have emerged as potentially disruptive technologies in healthcare. In this study GPT-3.5, an accessible LLM, was assessed for its accuracy and reliability in performing guideline-...
Practice Guidelines as Topic Risk Assessment Anticoagulants Anesthesia, Conduction Hemorrhage Humans Artificial Intelligence Reproducibility of Results
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Predicting blood transfusion following traumatic injury using machine learning models: A systematic review and narrative synthesis.

The journal of trauma and acute care surgery May 9, 2024
BACKGROUND: Hemorrhage is a leading cause of preventable death in trauma. Accurately predicting a patient's blood transfusion requirement is essential but can be difficult. Machine learning (ML) is a field of artificial intelligence that is emerging ...
Machine Learning Blood Transfusion Hemorrhage Wounds and Injuries Humans
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Machine learning approach for prediction of outcomes in anticoagulated patients with atrial fibrillation.

International journal of cardiology Apr 23, 2024
BACKGROUND: The accuracy of available prediction tools for clinical outcomes in patients with atrial fibrillation (AF) remains modest. Machine Learning (ML) has been used to predict outcomes in the AF population, but not in a population entirely on a...
Predictive Value of Tests Anticoagulants Registries Stroke Middle Aged Humans Atrial Fibrillation Risk Assessment Machine Learning Female Hemorrhage Treatment Outcome Aged Follow-Up Studies Aged, 80 and over Male
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A deep-learning approach to predict bleeding risk over time in patients on extended anticoagulation therapy.

Journal of thrombosis and haemostasis : JTH Apr 19, 2024
BACKGROUND: Thus far, all the clinical models developed to predict major bleeding in patients on extended anticoagulation therapy use the baseline predictors to stratify patients into different risk groups. Therefore, these models do not account for ...
Female Risk Factors Aged Anticoagulants Humans Hemorrhage Time Factors Aged, 80 and over Neural Networks, Computer Male Drug Administration Schedule Treatment Outcome Middle Aged Longitudinal Studies Risk Assessment Predictive Value of Tests Deep Learning
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Effects of thienopyridine class antiplatelets on bleeding outcomes following robot-assisted radical prostatectomy.

Scientific reports Mar 11, 2024
This study aimed to assess the effects of thienopyridine-class antiplatelet agents (including ticlopidine, clopidogrel, and prasugrel) on bleeding complications in patients who underwent robot-assisted radical prostatectomy. This cohort study used a ...
Prostatectomy Robotics Humans Thienopyridines Hemorrhage Male Cohort Studies Aspirin Pyridines Platelet Aggregation Inhibitors
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