AIMC Topic: Wounds and Injuries
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Fatal fall from a height: is it possible to apply artificial intelligence techniques for height estimation?
International journal of legal medicine
Dec 7, 2024
Fall from a height trauma is characterized by a multiplicity of injuries, related to multiple factors. The height of the fall is the factor that most influences the kinetic energy of the body and appears to be one of the factors that most affects the...
PREDICTING IN-HOSPITAL MORTALITY IN CRITICAL ORTHOPEDIC TRAUMA PATIENTS WITH SEPSIS USING MACHINE LEARNING MODELS.
Shock (Augusta, Ga.)
Dec 3, 2024
Purpose: This study aims to establish and validate machine learning-based models to predict death in hospital among critical orthopedic trauma patients with sepsis or respiratory failure. Methods: This study collected 523 patients from the Medical In...
Assessment of non-fatal injuries among university students in Hainan: a machine learning approach to exploring key factors.
Frontiers in public health
Nov 21, 2024
BACKGROUND: Injuries constitute a significant global public health concern, particularly among individuals aged 0-34. These injuries are affected by various social, psychological, and physiological factors and are no longer viewed merely as accidenta...
Comparison of deep learning approaches to estimate injury severity from the International Classification of Diseases codes.
Traffic injury prevention
Nov 1, 2024
OBJECTIVE: The injury severity classification based on the Abbreviated Injury Scale (AIS) provides information that allows for standardized comparisons for injury research. However, the majority of injury data is captured using the International Clas...
[Possibilities of the utilization of trauma networks of the German Society for Trauma Surgery using digital solutions].
Unfallchirurgie (Heidelberg, Germany)
Oct 9, 2024
This paper describes the use of digital solutions to improve the care of trauma patients in Germany. The focus is on the trauma networks of the German Society for Trauma Surgery (Deutsche Gesellschaft für Unfallchirurgie, DGU). The use of digital sol...
Enhancing Performance of the National Field Triage Guidelines Using Machine Learning: Development of a Prehospital Triage Model to Predict Severe Trauma.
Journal of medical Internet research
Sep 30, 2024
BACKGROUND: Prehospital trauma triage is essential to get the right patient to the right hospital. However, the national field triage guidelines proposed by the American College of Surgeons have proven to be relatively insensitive when identifying se...
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...
Investigation of a surrogate measure-based safety index for predicting injury crashes at signalized intersections.
Traffic injury prevention
Sep 26, 2024
OBJECTIVES: The paper develops a machine learning-based safety index for classifying traffic conflicts that can be used to estimate the frequency of signalized intersection crashes, with a focus on the more severe ones that result in fatal and severe...
Optimizing vehicle Front-End structure for e-bike rider Safety: An advanced Multi-Objective approach using injury prediction models.
Accident; analysis and prevention
Aug 29, 2024
A multi-objective optimization method based on an injury prediction model is proposed to address the increasingly prominent safety issues for e-bike riders in Chinese road traffic. This method aims to enhance the protective effect of vehicle front-en...
Mobile Apps for Wound Assessment and Monitoring: Limitations, Advancements and Opportunities.
Journal of medical systems
Aug 24, 2024
With the proliferation of wound assessment apps across various app stores and the increasing integration of artificial intelligence (AI) in healthcare apps, there is a growing need for a comprehensive evaluation system. Current apps lack sufficient e...
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