AIMC Topic: Wounds and Injuries

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Machine learning models predict triage levels, massive transfusion protocol activation, and mortality in trauma utilizing patients hemodynamics on admission.

Computers in biology and medicine Jul 16, 2024
BACKGROUND: The effective management of trauma patients necessitates efficient triaging, timely activation of Massive Blood Transfusion Protocols (MTP), and accurate prediction of in-hospital outcomes. Machine learning (ML) algorithms have emerged as...
Humans Adult Male Middle Aged Machine Learning Retrospective Studies Female Triage Wounds and Injuries Hemodynamics Blood Transfusion
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Analyzing speed-difference impact on freeway joint injury severities of Leading-Following vehicles using statistical and data-driven models.

Accident; analysis and prevention Jul 6, 2024
Rear-end (RE) crashes are notably prevalent and pose a substantial risk on freeways. This paper explores the correlation between speed difference among the following and leading vehicles (Δν) and RE crash risk. Three joint models, comprising both unc...
Neural Networks, Computer Support Vector Machine Models, Statistical Accidents, Traffic Wounds and Injuries Trauma Severity Indices Humans
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Exploring spatial heterogeneity in factors associated with injury severity in speeding-related crashes: An integrated machine learning and spatial modeling approach.

Accident; analysis and prevention Jul 4, 2024
Speeding, a risky act of driving a vehicle at a speed exceeding the posted limit, has consistently emerged as a leading contributor to traffic fatalities. Identifying the risk factors associated with injury severity in speeding-related crashes is ess...
Risk Factors Adult Male Humans Machine Learning Female Middle Aged Models, Statistical Accidents, Traffic Automobile Driving Spatial Analysis Wounds and Injuries
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Prediction of mortality among severely injured trauma patients A comparison between TRISS and machine learning-based predictive models.

Injury Jun 21, 2024
BACKGROUND: Given the huge impact of trauma on hospital systems around the world, several attempts have been made to develop predictive models for the outcomes of trauma victims. The most used, and in many studies most accurate predictive model, is t...
Wounds and Injuries Trauma Severity Indices Predictive Value of Tests Registries Injury Severity Score Female Sweden Aged Adult Male Middle Aged Humans Machine Learning
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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...
Humans Machine Learning Retrospective Studies Risk Assessment Extracorporeal Membrane Oxygenation Adult Injury Severity Score Female Wounds and Injuries Male Risk Factors Middle Aged Young Adult
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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 ...
Wounds and Injuries Blood Transfusion Hemorrhage 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 Image Processing, Computer-Assisted Humans Algorithms Radiology Wounds and Injuries
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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...
Accidents, Traffic Automobile Driving Wounds and Injuries Male Middle Aged Young Adult India Adult Machine Learning Algorithms Humans Female
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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...
Orthopedic Procedures Orthopedics Traumatology Acute Care Surgery Electronic Health Records Humans Telemedicine Artificial Intelligence Wounds and Injuries
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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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