AIMC Topic: Wounds and Injuries

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Machine Learning Differentiates Extracorporeal Membrane Oxygenation Mortality Risk Profiles Among Trauma Patients.

The American surgeon May 16, 2024
BACKGROUND: Extracorporeal membrane oxygenation (ECMO) is resource intensive with high mortality. Identifying trauma patients most likely to derive a survival benefit remains elusive despite current ECMO guidelines. Our objective was to identify uniq...
Extracorporeal Membrane Oxygenation Injury Severity Score Wounds and Injuries Middle Aged Risk Assessment Female Risk Factors Adult Male Young Adult Humans Machine Learning Retrospective Studies
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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 ...
Blood Transfusion Hemorrhage Wounds and Injuries Humans Machine Learning
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Applications of deep learning in trauma radiology: A narrative review.

Biomedical journal Apr 26, 2024
Diagnostic imaging is essential in modern trauma care for initial evaluation and identifying injuries requiring intervention. Deep learning (DL) has become mainstream in medical image analysis and has shown promising efficacy for classification, segm...
Tomography, X-Ray Computed Deep Learning Radiology Wounds and Injuries Image Processing, Computer-Assisted Humans Algorithms
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Identification of the best machine learning model for the prediction of driver injury severity.

International journal of injury control and safety promotion Apr 4, 2024
Predicting the injury severities sustained by drivers engaged in road traffic accidents is a key topic of research in road traffic safety. The current study analyzed the driver injury severity (DIS) using twelve machine learning (ML) algorithms. Thes...
Algorithms Female Young Adult Humans Machine Learning Middle Aged India Accidents, Traffic Adult Male Automobile Driving Wounds and Injuries
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[Orthopedics and trauma surgery in the digital age].

Orthopadie (Heidelberg, Germany) Mar 27, 2024
BACKGROUND: Digital transformation is shaping the future of orthopedics and trauma surgery. Telemedicine, digital health applications, electronic patient records and artificial intelligence play a central role in this. These technologies have the pot...
Wounds and Injuries Orthopedic Procedures Traumatology Acute Care Surgery Orthopedics Humans Artificial Intelligence Electronic Health Records Telemedicine
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Potential of artificial intelligence in injury prevention research and practice.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention Mar 20, 2024
There is increasing interest and use of artificial Intelligence algorithms and methods in biomedical research and practice, particularly as the technology has made significant advances in the past decade and become more accessible to more disciplines...
Wounds and Injuries Humans Artificial Intelligence
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A spatiotemporal deep learning approach for pedestrian crash risk prediction based on POI trip characteristics and pedestrian exposure intensity.

Accident; analysis and prevention Feb 8, 2024
Pedestrians represent a population of vulnerable road users who are directly exposed to complex traffic conditions, thereby increasing their risk of injury or fatality. This study first constructed a multidimensional indicator to quantify pedestrian ...
Risk Factors Deep Learning Accidents, Traffic Built Environment Pedestrians Humans Wounds and Injuries
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Machine learning in the prediction of massive transfusion in trauma: a retrospective analysis as a proof-of-concept.

European journal of trauma and emergency surgery : official publication of the European Trauma Society Jan 24, 2024
PURPOSE: Early administration and protocolization of massive hemorrhage protocols (MHP) has been associated with decreases in mortality, multiorgan system failure, and number of blood products used. Various prediction tools have been developed for th...
Middle Aged Algorithms Hemorrhage Injury Severity Score Blood Transfusion Emergency Service, Hospital Retrospective Studies Wounds and Injuries Proof of Concept Study Humans Adult Female Machine Learning Male
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Predicting pedestrian-involved crash severity using inception-v3 deep learning model.

Accident; analysis and prevention Jan 13, 2024
This research leverages a novel deep learning model, Inception-v3, to predict pedestrian crash severity using data collected over five years (2016-2021) from Louisiana. The final dataset incorporates forty different variables related to pedestrian at...
Accidents, Traffic Wounds and Injuries Models, Statistical Pedestrians Humans Algorithms Deep Learning
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Letter to the Editor regarding 'Development of a deep learning-based tool to assist wound classification'.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS Oct 18, 2023
Wounds and Injuries Humans Deep Learning
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