AIMC Topic: Accidental Injuries

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Using deep learning for estimation of time-since-injury in pediatric accidental fractures.

Pediatric radiology Apr 22, 2025
BACKGROUND: Estimating time-since-injury of healing fractures is imprecise, encompassing excessively wide timeframes. Most injured children are evaluated at non-children's hospitals, yet pediatric radiologists can disagree with up to one in six skele...
Humans Retrospective Studies Female Infant, Newborn Sensitivity and Specificity Male Infant Deep Learning Child, Preschool Child Fractures, Bone Radiographic Image Interpretation, Computer-Assisted Accidental Injuries
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Integrated image and location analysis for wound classification: a deep learning approach.

Scientific reports Mar 25, 2024
The global burden of acute and chronic wounds presents a compelling case for enhancing wound classification methods, a vital step in diagnosing and determining optimal treatments. Recognizing this need, we introduce an innovative multi-modal network ...
Humans Neural Networks, Computer Deep Learning Benchmarking Accidental Injuries Neoplasms, Squamous Cell
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Machine Learning in Aging: An Example of Developing Prediction Models for Serious Fall Injury in Older Adults.

The journals of gerontology. Series A, Biological sciences and medical sciences Mar 31, 2021
BACKGROUND: Advances in computational algorithms and the availability of large datasets with clinically relevant characteristics provide an opportunity to develop machine learning prediction models to aid in diagnosis, prognosis, and treatment of old...
Humans Machine Learning Algorithms Decision Support Techniques Prognosis Female Reproducibility of Results Aged Male Aging Accidental Falls Outcome Assessment, Health Care Trauma Severity Indices Clinical Decision Rules Accidental Injuries
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