AIMC Topic: Hemorrhage

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Research on workflow recognition for liver rupture repair surgery.

Mathematical biosciences and engineering : MBE Jan 3, 2024
Liver rupture repair surgery serves as one tool to treat liver rupture, especially beneficial for cases of mild liver rupture hemorrhage. Liver rupture can catalyze critical conditions such as hemorrhage and shock. Surgical workflow recognition in li...
Computer Simulation Liver Workflow Hemorrhage Humans Neural Networks, Computer
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Using machine learning to predict bleeding after cardiac surgery.

European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery Dec 1, 2023
OBJECTIVES: The primary objective was to predict bleeding after cardiac surgery with machine learning using the data from the Australia New Zealand Society of Cardiac and Thoracic Surgeons Cardiac Surgery Database, cardiopulmonary bypass perfusion da...
Retrospective Studies Australia Heart Cardiac Surgical Procedures Hemorrhage Humans Machine Learning
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[Research on grading prediction model of traumatic hemorrhage volume based on deep learning].

Zhonghua wei zhong bing ji jiu yi xue Jul 1, 2022
OBJECTIVE: To develop a grading prediction model of traumatic hemorrhage volume based on deep learning and assist in predicting traumatic hemorrhage volume.
Wounds, Gunshot Humans Machine Learning Retrospective Studies Deep Learning Hemorrhage Animals Swine
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A systemic review and meta-analysis of the effects of perioperative anticoagulant and antiplatelet therapy on bleeding complications in robot-assisted prostatectomy.

European review for medical and pharmacological sciences Mar 1, 2022
OBJECTIVE: Robot-assisted prostatectomy is commonly performed for the management of prostate cancer. The literature has noted that prostate cancer patients are often prone to increased risk for thromboembolic complications. Normally, such situations ...
Humans Aged Male Middle Aged Prostatic Neoplasms Platelet Aggregation Inhibitors Postoperative Complications Hemorrhage Prostatectomy Robotics Anticoagulants
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Classifying Microscopic Acute and Old Myocardial Infarction Using Convolutional Neural Networks.

The American journal of forensic medicine and pathology Sep 1, 2021
Convolutional neural network (CNN) has advanced in recent years and translated from research into medical practice, most notably in clinical radiology and histopathology. Research on CNNs in forensic/postmortem pathology is almost exclusive to postmo...
Fibroblasts Myocardium Myocardial Infarction Fibrosis Neural Networks, Computer Image Processing, Computer-Assisted Neutrophils Hemorrhage Myocytes, Cardiac Forensic Pathology Humans
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Development of a field artificial intelligence triage tool: Confidence in the prediction of shock, transfusion, and definitive surgical therapy in patients with truncal gunshot wounds.

The journal of trauma and acute care surgery Jun 1, 2021
BACKGROUND: In-field triage tools for trauma patients are limited by availability of information, linear risk classification, and a lack of confidence reporting. We therefore set out to develop and test a machine learning algorithm that can overcome ...
Hemorrhage Shock Injury Severity Score Wounds, Gunshot Artificial Intelligence Models, Cardiovascular Emergency Medical Services Thoracic Injuries Trauma Centers Retrospective Studies Triage Risk Assessment Adult Feasibility Studies ROC Curve Male Female Blood Transfusion Humans Young Adult
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Predictors of bleeding event among elderly patients with mechanical valve replacement using random forest model: A retrospective study.

Medicine May 14, 2021
Available classification tools and risk factors predicting bleeding events in elderly patients after mechanical valve replacement may not be suitable in Asian populations. Thus, we aimed to identify an accurate model for predicting bleeding in elderl...
Machine Learning Hemorrhage Warfarin Humans Retrospective Studies Adrenal Cortex Hormones Stroke Heart Valve Prosthesis Implantation Neoplasms Risk Factors Myocardial Infarction Aged Anticoagulants Risk Assessment
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The exceptional performance of deep learning for capsule endoscopy: Will such quality be maintained in clinical scenarios?

Gastrointestinal endoscopy Feb 1, 2021
Capsule Endoscopy Ulcer Computers Deep Learning Humans Hemorrhage Neural Networks, Computer
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Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets.

Lancet (London, England) Jan 16, 2021
BACKGROUND: The accuracy of current prediction tools for ischaemic and bleeding events after an acute coronary syndrome (ACS) remains insufficient for individualised patient management strategies. We developed a machine learning-based risk stratifica...
Clinical Decision-Making Female Adult Male Humans Machine Learning Datasets as Topic Mortality Postoperative Complications Hemorrhage Acute Coronary Syndrome
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Dynamic impact of transfusion ratios on outcomes in severely injured patients: Targeted machine learning analysis of the Pragmatic, Randomized Optimal Platelet and Plasma Ratios randomized clinical trial.

The journal of trauma and acute care surgery Sep 1, 2020
BACKGROUND: Massive transfusion protocols to treat postinjury hemorrhage are based on predefined blood product transfusion ratios followed by goal-directed transfusion based on patient's clinical evolution. However, it remains unclear how these trans...
Blood Platelets Plasma Intention to Treat Analysis Male Humans North America Blood Component Transfusion Hemorrhage Machine Learning Trauma Centers Wounds and Injuries Erythrocytes Female Hemostasis
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