Sexual Assault

Jigsaws soup: Improved laparoscopic surgical gesture classification, and skill level evaluation using model souping.

Laparoscopy has revolutionised surgery, with faster recovery and less trauma for patients. However, extensive training is needed to gain the required skills, with said training ideally involving simulation-based strategies. A shortage of human expert coaches results in a lack of training opportunities in many jurisdictions. An Artificial Intelligence (AI) coach that can replicate the feedback from...

Artificial intelligence in the diagnosis and prognosis of ocular trauma: a systematic review.

Accurate, fair, and generalisable scaling of injury severity score-based AI with demographics in terms of mortality in patients with trauma: multi-centre, multi-national retrospective cohort study.

BACKGROUND: Accurate and equitable prediction of trauma-related in-hospital mortality is critical for guiding clinical decisions and optimising trauma...

AI-Aided Triage for GSWH: Validating an Interpretable HCT-Based Mortality Model.

Civilian gunshot wounds to the head (GSWH) carry high mortality yet lack standardized, imaging-based triage tools. Because initial noncontrast head co...

Non-contact monitoring in neonatology.

To present and critically evaluate current contactless monitoring modalities - infrared thermography (IRT), photoplethysmography imaging (PPGI), balli...

Artificial intelligence and robotics in global neurosurgery: A scoping review.

OBJECTIVE: Artificial intelligence (AI) and robotics are transforming neurosurgical care; however, the application of these technologies in low- and m...

External validation of an AI-Based fracture detection tool for hip and pelvic radiographs in a multicenter retrospective cohort.

OBJECTIVE: Artificial intelligence tools show promise in fracture detection but may be impaired by hidden stratification. We aim to evaluate the diagn...

AI-guided surgical decision support system for corneal laceration repair: a prospective, non-randomized controlled feasibility study.

To evaluate the feasibility and application value of a transfer learning-based artificial intelligence (AI) system for wound recognition and suture po...

Early Prediction of Standing at Discharge in Moderate-to-Severe TBI: A Clinical Machine Learning Model Integrating Modifiable and Nonmodifiable Factors.

OBJECTIVE: To develop and internally validate a machine learning model to predict favorable standing ability at hospital discharge in patients with mo...

Field Foresight-Predicting the Need for Massive Transfusion, ICU Utilization, and Mechanical Ventilation for Traumatically Injured Patients.

INTRODUCTION: Expeditiously predicting outcomes is essential to allocating blood and intensive care resources. We hypothesize the use of external inju...

Natural Language Processing and Machine Learning Classification Model for Injury Mechanism in Trauma.

INTRODUCTION: Creating and maintaining research databases in trauma can be resource intensive. Natural language processing (NLP) may assist by extract...

Contribution of social determinants to symptoms of generalized anxiety disorder.

Symptoms of anxiety are known to be triggered by a range of life context factors including early life trauma, poor sleep quality, infrequent exercise,...

In-Hospital Mortality Prediction of Patients Requiring Extracorporeal Membrane Oxygenation Using Composite Lactate Metrics and Weight of Evidence Modeling.

BACKGROUND: Mortality prognostication in adult patients requiring extracorporeal membrane oxygenation (ECMO) is not accurate or established. We hypoth...

Advancing trauma scoring through large language models: automated estimation of injury severity.

Quantitative Histological Insights Into Sudden Arrhythmic Death Syndrome: Findings From a Forensic Autopsy Cohort.

Sudden arrhythmic death syndrome (SADS) is a major cause of sudden cardiac death in young individuals, characterized by structurally normal hearts and...

Molecular basis of muscle wasting and emerging therapeutic strategies targeting degenerative muscle disorders.

Muscle degenerative conditions, including sarcopenia, muscular dystrophies, and trauma-induced muscle loss, severely compromise mobility, metabolism, ...

Effects of a Semantically Irrelevant Virtual Reality Experience on Memory and Emotion After Watching a Traumatic Event: Randomized Controlled Experimental Study.

BACKGROUND: First responders, such as firefighters, experience significant mental health issues due to the high-stress nature of their work. Existing ...

Machine learning in trauma anesthesia - from promise to practice.

A systematic review on dysconnectivity in face and emotion processing networks in schizophrenia.

Schizophrenia is a complex psychiatric disorder that affects approximately 20 million people worldwide. Patients show face-processing deficits that si...

Machine learning and metabolic signatures of drowning: A pathway to uncovering cause of death in aquatic environments.

The postmortem diagnosis of drowning is challenging due to the nonspecific and transient nature of classical autopsy findings. This study aimed to inv...