AIMC Topic: Wounds, Gunshot

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Engaging Stakeholders With Professional or Lived Experience to Improve Firearm Violence Lexicon Development.

JMIR formative research Apr 21, 2025
Framing the public health burden of firearm violence should include people with secondary exposure to firearm violence beyond acute bodily injury, yet such data are limited. Electronic health record clinical notes, when leveraged through natural lang...
Humans Electronic Health Records Violence Natural Language Processing Stakeholder Participation Firearms Wounds, Gunshot Gun Violence
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Forecasting Pediatric Trauma Volumes: Insights From a Retrospective Study Using Machine Learning.

The Journal of surgical research Dec 31, 2024
INTRODUCTION: Rising pediatric firearm-related fatalities in the United States strain Trauma Centers. Predicting trauma volume could improve resource management and preparedness, particularly if daily forecasts are achievable. The aim of the study is...
Machine Learning Forecasting Retrospective Studies Humans Adolescent Child, Preschool Child United States Female Male Infant Wounds and Injuries Trauma Centers Wounds, Gunshot
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Firearm Injury Risk Prediction Among Children Transported by 9-1-1 Emergency Medical Services: A Machine Learning Analysis.

Pediatric emergency care Dec 12, 2024
OBJECTIVE: Among children transported by ambulance across the United States, we used machine learning models to develop a risk prediction tool for firearm injury using basic demographic information and home ZIP code matched to publicly available data...
Ambulances Wounds, Gunshot Child United States Emergency Medical Services Adolescent Humans Infant, Newborn Child, Preschool Risk Assessment Machine Learning Infant Female Risk Factors Male
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Deep learning-based human gunshot wounds classification.

International journal of legal medicine Nov 6, 2024
In this paper, we present a forensic perspective on classifying gunshot wound patterns using Deep Learning (DL). Although DL has revolutionized various medical specialties, such as automating tasks like medical image classification, its applications ...
Wounds, Gunshot Forensic Ballistics Humans Databases, Factual Deep Learning Image Processing, Computer-Assisted
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Effects of demolishing abandoned buildings on firearm violence: a moderation analysis using aerial imagery and deep learning.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention Dec 7, 2021
PURPOSE: Demolishing abandoned buildings has been found to reduce nearby firearm violence. However, these effects might vary within cities and across time scales. We aimed to identify potential moderators of the effects of demolitions on firearm viol...
Firearms Violence Wounds, Gunshot Deep Learning Cities Humans Machine Learning
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Deep learning in forensic gunshot wound interpretation-a proof-of-concept study.

International journal of legal medicine Apr 6, 2021
While the applications of deep learning are considered revolutionary within several medical specialties, forensic applications have been scarce despite the visual nature of the field. For example, a forensic pathologist may benefit from deep learning...
Wounds, Gunshot Forensic Pathology Forensic Ballistics Deep Learning Models, Animal Proof of Concept Study Neural Networks, Computer Animals Swine
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Estimating Nonfatal Gunshot Injury Locations With Natural Language Processing and Machine Learning Models.

JAMA network open Oct 1, 2020
IMPORTANCE: Nonfatal gunshot injuries are the most common firearm injury, but where they frequently occur remains unclear owing to data limitations. Natural language processing can be applied to medical text narratives of gunshot injury records to cl...
Models, Statistical Emergency Medical Services Natural Language Processing Accidents Humans Middle Aged Firearms Female Machine Learning Adolescent Wounds, Gunshot Young Adult United States Adult Cross-Sectional Studies Male
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Alcohol outlets and firearm violence: a place-based case-control study using satellite imagery and machine learning.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention Aug 29, 2019
INTRODUCTION: This article proposes a novel method for matching places based on visual similarity, using high-resolution satellite imagery and machine learning. This approach strengthens comparisons when the built environment is a potential confounde...
Commerce Philadelphia Humans Firearms Violence Urban Population Machine Learning Residence Characteristics Case-Control Studies Alcoholic Beverages Satellite Imagery Wounds, Gunshot
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From binary presumptive assays to probabilistic assessments: Differentiation of shooters from non-shooters using IMS, OGSR, neural networks, and likelihood ratios.

Forensic science international Apr 21, 2016
Screening tests are used in forensic science for field testing and directing laboratory analysis of physical evidence. These tests are often binary in that the data produced is interpreted as yes/no or present/absent. The utility of screening assays ...
Firearms Humans Skin Likelihood Functions Neural Networks, Computer Hand Wounds, Gunshot Organic Chemicals Spectrum Analysis
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APPLICATION OF ARTIFICIAL INTELLIGENCE IN CIVIL AND MILITARY MEDICINE.

Georgian medical news Mar 1, 2024
Artificial intelligence (AI) encompasses the advancement of computers and robots, enabling them to surpass human capabilities in various aspects. By utilizing AI, programs have the ability to autonomously analyze and interpret data, offering informat...
Military Medicine Wounds, Gunshot Humans Artificial Intelligence Ukraine
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