AIMC Topic: Wounds and Injuries

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Eff-ReLU-Net: a deep learning framework for multiclass wound classification.

BMC medical imaging Jul 1, 2025
Chronic wounds have emerged as a significant medical challenge due to their adverse effects, including infections leading to amputations. Over the past few years, the prevalence of chronic wounds has grown, thus posing significant health hazards. It ...
Reproducibility of Results Deep Learning Image Interpretation, Computer-Assisted Wounds and Injuries Humans
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Enhancing chronic wound assessment through agreement analysis and tissue segmentation.

Scientific reports Jul 1, 2025
Accurate monitoring of chronic wound progression is crucial for assessing healing dynamics. However, the current manual process of tissue segmentation and quantification, which is an indicator of the healing progress, is time-consuming and subject to...
Image Processing, Computer-Assisted Wound Healing Chronic Disease Wounds and Injuries Humans Neural Networks, Computer Algorithms Deep Learning
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Predicting opportunities for improvement in trauma care using machine learning: a retrospective registry-based study at a major trauma centre.

BMJ open Jun 6, 2025
OBJECTIVE: To develop models to predict opportunities for improvement in trauma care and compare the performance of these models to the currently used audit filters.
Injury Severity Score Wounds and Injuries Trauma Centers Female Adult Male Middle Aged ROC Curve Logistic Models Registries Quality Improvement Humans Machine Learning Retrospective Studies
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A Machine Learning Trauma Triage Model for Critical Care Transport.

JAMA network open Jun 2, 2025
IMPORTANCE: Under austere prehospital conditions, rapid classification of injured patients for intervention or transport is essential for providing lifesaving care. Discerning which patients need care most urgently further allows for optimal allocati...
Machine Learning Retrospective Studies Female Adult Humans Critical Care Wounds and Injuries Pennsylvania Transportation of Patients Male Middle Aged Emergency Medical Services Triage
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Gasdermin D drives the systemic storm and mortality after trauma with hemorrhage to a greater degree in biological females than males.

Science translational medicine May 28, 2025
Severe injury accompanied by hemorrhagic shock triggers an early release of cell constituents into the circulation, referred to as the systemic storm. The systemic storm drives the systemic inflammatory response and is associated with increased morta...
Phosphate-Binding Proteins Gasdermins Mice, Knockout Sex Characteristics Sex Factors Hemorrhage Wounds and Injuries Male Shock, Hemorrhagic Intracellular Signaling Peptides and Proteins Mice Apoptosis Mice, Inbred C57BL Humans Female Animals
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Utilizing machine learning and geographic analysis to improve Post-crash traffic injury management and emergency response systems.

International journal of injury control and safety promotion Apr 11, 2025
Traffic injuries are a major public health concern globally. This study uses machine learning (ML) and geographic analysis to analyse road traffic fatalities and improve traffic safety in Nakhon Ratchasima Province, Thailand. Data on road traffic fat...
Middle Aged Aged Child Thailand Humans Young Adult Adolescent Emergency Medical Services Machine Learning Adult Accidents, Traffic Female Male Wounds and Injuries
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Intelligent progress monitoring of healing wound tissues based on classification models.

Biomedical physics & engineering express Mar 26, 2025
The evolution of wound monitoring techniques has seen a significant shift from traditional methods like ruler-based measurements to the use of AI-assisted assessment of wound tissues. This progression has been driven by the need for more accurate, ef...
Bayes Theorem Wounds and Injuries Algorithms Support Vector Machine Wound Healing Decision Trees Humans Artificial Intelligence
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Evaluation and comparison of machine learning algorithms for predicting discharge against medical advice in injured inpatients.

Surgery Mar 23, 2025
BACKGROUND: Whether the application of machine learning algorithms offers an advantage over logistic regression in forecasting discharge against medical advice occurrences needs to be evaluated.
Patient Discharge Wounds and Injuries Female Aged Adult Male Middle Aged Logistic Models Inpatients Humans Machine Learning Algorithms Retrospective Studies
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Complex wound analysis using AI.

Computers in biology and medicine Mar 18, 2025
Impaired wound healing is a significant clinical challenge. Standard wound analysis approaches are macroscopic, with limited histological assessments that rely on visual inspection of haematoxylin and eosin (H&E)-stained sections of biopsies. The ana...
Deep Learning Image Processing, Computer-Assisted Humans Mice Biopsy Wound Healing Neural Networks, Computer Wounds and Injuries Animals
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Using Natural Language Processing in the LACE Index Scoring Tool to Predict Unplanned Trauma and Surgical Readmissions in South Africa.

World journal of surgery Mar 9, 2025
BACKGROUND: Unplanned and potentially avoidable readmission within 30 days post discharge is a major financial burden.
Adult Male Middle Aged Risk Assessment Comorbidity Natural Language Processing South Africa Retrospective Studies Electronic Health Records Female Aged Humans Wounds and Injuries Feasibility Studies Patient Readmission Surgical Procedures, Operative
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