AIMC Topic: Wounds, Nonpenetrating

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Exploratory cluster analysis of IL2Ra and associated biomarkers and complications after blunt chest trauma.

The journal of trauma and acute care surgery Apr 14, 2025
BACKGROUND: Rib fractures compromise approximately 40% of all fractures in the United States. Despite their prevalence, the relationship between rib fractures, solid organ injuries, and immune responses remains poorly understood. This exploratory stu...
Humans Cytokines Biomarkers Rib Fractures Adult Male Middle Aged Cluster Analysis Thoracic Injuries Wounds, Nonpenetrating Female Aged
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Hope for the best prepare for the worst: acute kidney disease and catastrophic comorbidities (a case report).

The Pan African medical journal Dec 27, 2024
It is evident that Acute Kidney Injury (AKI) is an independent risk factor for both the survival of patients and their kidneys. Here, we present a case of oliguric AKI secondary to blunt trauma-induced crush syndrome complicated with severe sepsis in...
Sepsis Renal Dialysis Crush Injuries Accidents, Occupational Acute Kidney Injury Adult Male Humans Accidental Falls Anti-Bacterial Agents Wounds, Nonpenetrating
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Diagnostic evaluation of blunt chest trauma by imaging-based application of artificial intelligence.

The American journal of emergency medicine Aug 15, 2024
Artificial intelligence (AI) is becoming increasingly integral in clinical practice, such as during imaging tasks associated with the diagnosis and evaluation of blunt chest trauma (BCT). Due to significant advances in imaging-based deep learning, re...
Wounds, Nonpenetrating Tomography, X-Ray Computed Deep Learning Humans Artificial Intelligence Rib Fractures Thoracic Injuries
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Using machine learning to predict outcomes of patients with blunt traumatic aortic injuries.

The journal of trauma and acute care surgery Mar 29, 2024
BACKGROUND: The optimal management of blunt thoracic aortic injury (BTAI) remains controversial, with experienced centers offering therapy ranging from medical management to TEVAR. We investigated the utility of a machine learning (ML) algorithm to d...
Thoracic Injuries Retrospective Studies Wounds, Nonpenetrating Female Humans Machine Learning Algorithms Prognosis Aorta, Thoracic Endovascular Procedures Injury Severity Score Vascular System Injuries Middle Aged Hospital Mortality Logistic Models Registries Risk Factors Adult Male
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Deep Learning for Automated Detection and Localization of Traumatic Abdominal Solid Organ Injuries on CT Scans.

Journal of imaging informatics in medicine Feb 16, 2024
Computed tomography (CT) is the most commonly used diagnostic modality for blunt abdominal trauma (BAT), significantly influencing management approaches. Deep learning models (DLMs) have shown great promise in enhancing various aspects of clinical pr...
Kidney Liver Spleen Abdominal Injuries Middle Aged Deep Learning ROC Curve Wounds, Nonpenetrating Tomography, X-Ray Computed Female Aged Adult Sensitivity and Specificity Male Humans Retrospective Studies
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Traumatic rib fracture patterns associated with bone mineral density statuses derived from CT images.

Frontiers in endocrinology Dec 12, 2023
BACKGROUND: The impact of decreased bone mineral density (BMD) on traumatic rib fractures remains unknown. We combined computed tomography (CT) and artificial intelligence (AI) to measure BMD and explore its impact on traumatic rib fractures and thei...
Wounds, Nonpenetrating Bone Density Ribs Humans Osteoporosis Rib Fractures Artificial Intelligence Tomography, X-Ray Computed Thoracic Injuries Prospective Studies Retrospective Studies
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The value of deep learning-based computer aided diagnostic system in improving diagnostic performance of rib fractures in acute blunt trauma.

BMC medical imaging Apr 13, 2023
BACKGROUND: To evaluate the value of a deep learning-based computer-aided diagnostic system (DL-CAD) in improving the diagnostic performance of acute rib fractures in patients with chest trauma.
Sensitivity and Specificity Deep Learning Retrospective Studies Wounds, Nonpenetrating Tomography, X-Ray Computed Humans Computers Rib Fractures Thoracic Injuries
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Automated quantitative assessment of pediatric blunt hepatic trauma by deep learning-based CT volumetry.

European journal of medical research Dec 26, 2022
BACKGROUND: To develop an end-to-end deep learning method for automated quantitative assessment of pediatric blunt hepatic trauma based on contrast-enhanced computed tomography (CT).
Tomography, X-Ray Computed Deep Learning Humans Child Retrospective Studies Liver Wounds, Nonpenetrating
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Decision-making in pediatric blunt solid organ injury: A deep learning approach to predict massive transfusion, need for operative management, and mortality risk.

Journal of pediatric surgery Oct 24, 2020
BACKGROUND: The principal triggers for intervention in the setting of pediatric blunt solid organ injury (BSOI) are declining hemoglobin values and hemodynamic instability. The clinical management of BSOI is, however, complex. We therefore hypothesiz...
Humans Retrospective Studies Wounds, Nonpenetrating Deep Learning Trauma Centers Child Spleen Injury Severity Score
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Identifying bladder rupture following traumatic pelvic fracture: A machine learning approach.

Injury Dec 9, 2019
INTRODUCTION: Bladder rupture following blunt pelvic trauma is rare though can have significant sequelae. We sought to determine whether machine learning could help predict the presence of bladder injury using certain factors at the time of presentat...
Urinary Bladder Urinary Bladder Diseases Washington Area Under Curve Radiography Pelvic Bones Bayes Theorem Retrospective Studies Fractures, Bone Rupture Wounds, Nonpenetrating Decision Trees Humans ROC Curve Machine Learning Logistic Models Databases, Factual
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