AIMC Topic: Wounds and Injuries

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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.
Logistic Models Registries Quality Improvement Injury Severity Score Wounds and Injuries Trauma Centers Adult Male Middle Aged ROC Curve Machine Learning Retrospective Studies Female Humans
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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 Male Pennsylvania Middle Aged Transportation of Patients 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...
Shock, Hemorrhagic Intracellular Signaling Peptides and Proteins Phosphate-Binding Proteins Gasdermins Sex Characteristics Humans Sex Factors Female Hemorrhage Animals Wounds and Injuries Male Mice Apoptosis Mice, Inbred C57BL Mice, Knockout
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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 Humans Thailand Young Adult Adolescent Emergency Medical Services Machine Learning Adult Child 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...
Wound Healing Decision Trees Bayes Theorem Humans Wounds and Injuries Artificial Intelligence Algorithms Support Vector Machine
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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.
Adult Male Middle Aged Logistic Models Algorithms Retrospective Studies Female Aged Inpatients Patient Discharge Wounds and Injuries Humans Machine Learning
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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...
Mice Wound Healing Biopsy Wounds and Injuries Neural Networks, Computer Animals Deep Learning Image Processing, Computer-Assisted Humans
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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.
Middle Aged Risk Assessment Comorbidity Natural Language Processing Wounds and Injuries South Africa Feasibility Studies Patient Readmission Female Surgical Procedures, Operative Aged Humans Adult Retrospective Studies Male Electronic Health Records
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Utilization of non-invasive ventilation before prehospital emergency anesthesia in trauma - a cohort analysis with machine learning.

Scandinavian journal of trauma, resuscitation and emergency medicine Mar 3, 2025
BACKGROUND: For preoxygenation, German guidelines consider non-invasive ventilation (NIV) as a possible method in prehospital trauma care in the absence of aspiration, severe head or face injuries, unconsciousness, or patient non-compliance. As data ...
Cohort Studies Emergency Medical Services Registries Anesthesia Germany Wounds and Injuries Female Noninvasive Ventilation Adult Humans Male Machine Learning Middle Aged Retrospective Studies
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