Sexual Assault

Predicting opportunities for improvement in trauma care using machine learning: a retrospective registry-based study at a major trauma centre.

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.

A Machine Learning Trauma Triage Model for Critical Care Transport.

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 allocation of limited resources. These triage processes are hindered by the limited diagnostic resources and modalities available in the prehospital environme...

From Fragile Lives to Forensic Truth: Multimodal Forensic Approaches to Pediatric Homicide and Suspect Death.

Forensic investigation of child homicides presents unique challenges due to the vulnerability of children and the complexity of distinguishing betwee...

Dental Trauma Evo - Development of an Artificial Intelligence-powered Chatbot to Support Professional Management of Dental Trauma.

INTRODUCTION: Dental trauma is a public health issue that requires proper clinical management to minimize complications. Artificial intelligence-based...

Gasdermin D drives the systemic storm and mortality after trauma with hemorrhage to a greater degree in biological females than males.

Severe injury accompanied by hemorrhagic shock triggers an early release of cell constituents into the circulation, referred to as the systemic storm....

Digital Technology Prediction of Anger, Aggression, and Violence: Recent Innovations and Methodological Considerations.

Data derived from smartphone and wearable devices, combined with artificial intelligence/machine learning, have great potential to predict, detect, an...

"Perfusion Assessment of Healthy and Injured Hands Using Video-Based Deep Learning Models".

BACKGROUND: Assessing in-field hand trauma is challenging, and inaccurate perfusion assessment can substantially impact the patient and health system....

Use video comprehension technology to diagnose ultrasound pneumothorax like a doctor would.

INTRODUCTION: Emergency rescue scenes and pre-hospital emergency stages commonly encounter trauma victims. Life-saving measures must be taken at the s...

Recent progress in surgical treatment of cervical spine myelopathy - A narrative review.

Surgical techniques and technology for cervical spondylotic myelopathy (CSM) have demonstrated remarkable advancement during the past decade. This nar...

Burn disasters in North Carolina: An Analysis of Four Major Incidents with a Look to the Future.

This paper examines the medical response to four significant burn disasters in the North Carolina: the Pope Air Force Base disaster, the ConAgra/Garne...

Detection, Classification, and Segmentation of Rib Fractures From CT Data Using Deep Learning Models: A Review of Literature and Pooled Analysis.

PURPOSE: Trauma-induced rib fractures are common injuries. The gold standard for diagnosing rib fractures is computed tomography (CT), but the sensiti...

Deep Learning-Based Aortic Diameter Measurement in Traumatic Hemorrhage Using Shallow Attention Network: A Path Forward.

The accurate assessment of aortic diameter (AoD) is essential in managing patients with traumatic hemorrhage, particularly during interventions such ...

Automated dynamic phenotyping of whole oilseed rape () plants from images collected under controlled conditions.

INTRODUCTION: Recent advancements in sensor technologies have enabled collection of many large, high-resolution plant images datasets that could be us...

Data-driven identification of urgent surgical procedures for use in trauma outcomes measurement.

BACKGROUND: No standardized list of urgent-trauma-surgery exists for analysis in injury studies. If coded by a standard classification system, such a ...

A deep learning-based approach to automated rib fracture detection and CWIS classification.

PURPOSE: Trauma-induced rib fractures are a common injury. The number and characteristics of these fractures influence whether a patient is treated no...

Intravascular Lithotripsy Versus Rotational Atherectomy for Calcified Coronary Lesions: A Systematic Review and an Updated Meta-Analysis of Clinical Outcomes.

BACKGROUND: Severe coronary artery calcification (CAC) remains a significant challenge in interventional cardiology, especially in elderly and comorbi...

Decision Trees for Managing Impaired Physical Mobility in Multiple Trauma Patients.

AIM: To develop and validate decision trees using conditional probabilities to identify the predictors of mortality and morbidity deterioration in tra...

AI on the Front Lines: A Primer for the Military Health Professional.

BACKGROUND: Artificial Intelligence (AI) has become a key component of the U.S. Army Medical Modernization Strategy, which seeks to enhance military h...

External validation of an RSNA 2023 Abdominal Trauma AI Challenge high performing machine learning model in the detection and grading of splenic injuries on CT.

PURPOSE: This study aims to validate the performance of an award-winning machine learning (ML) model from the Radiological Society of North America (R...

Predictive modeling of response to repetitive transcranial magnetic stimulation in treatment-resistant depression.

Identifying predictors of treatment response to repetitive transcranial magnetic stimulation (rTMS) remain elusive in treatment-resistant depression (...