Sexual Assault

Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia.

Identifying trauma patients at risk of imminent hemorrhagic shock is a challenging task in intraoper...

Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical- Approach Combining Experiments and Machine Learning.

Life-threatening cardiomyopathy is a severe, but common, complication associated with severe trauma ...

Bayesian averaging over Decision Tree models for trauma severity scoring.

Health care practitioners analyse possible risks of misleading decisions and need to estimate and qu...

Communication with Orthopedic Trauma Patients via an Automated Mobile Phone Messaging Robot.

BACKGROUND: Communication with orthopedic trauma patients is traditionally problematic with low resp...

Towards Robot-Assisted Retinal Vein Cannulation: A Motorized Force-Sensing Microneedle Integrated with a Handheld Micromanipulator .

Retinal vein cannulation is a technically demanding surgical procedure where therapeutic agents are ...

Artificial intelligence for analyzing orthopedic trauma radiographs.

Background and purpose - Recent advances in artificial intelligence (deep learning) have shown remar...

Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD.

To date, studies of biological risk factors have revealed inconsistent relationships with subsequent...

A First Step towards a Clinical Decision Support System for Post-traumatic Stress Disorders.

PTSD is distressful and debilitating, following a non-remitting course in about 10% to 20% of trauma...

Cryptogenic Temporal Hollowing.

Temporal hollowing is a common complication that occurs after coronal approach surgeries. However, t...

Image Segmentation and Machine Learning for Detection of Abdominal Free Fluid in Focused Assessment With Sonography for Trauma Examinations: A Pilot Study.

The objective of this pilot study was to test the feasibility of automating the detection of abdomin...

Chemical composition, acute toxicity, antioxidant and anti-inflammatory activities of Moroccan L.

Hydro-distilled essential oil (EO) from the leaves of the western Mediterranean and Moroccan endemic...

Intravenous Paracetamol Versus Patient-Controlled Analgesia With Morphine for the Pain Management Following Diagnostic Knee Arthroscopy in Trauma Patients: A Randomized Clinical Trial.

BACKGROUND: Most patients undergoing outpatient surgeries have the unpleasant experience of high lev...

Non-weight-based enoxaparin dosing subtherapeutic in trauma patients.

BACKGROUND: We report our experience dosing and monitoring enoxaparin with anti-factor Xa activity (...

Statistical Machines for Trauma Hospital Outcomes Research: Application to the PRospective, Observational, Multi-Center Major Trauma Transfusion (PROMMTT) Study.

Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and publ...

Prediction of feature genes in trauma patients with the TNF rs1800629 A allele using support vector machine.

BACKGROUND: Tumor necrosis factor (TNF)-α variant is closely linked to sepsis syndrome and mortality...

Characterizing root response phenotypes by neural network analysis.

Roots play an immediate role as the interface for water acquisition. To improve sustainability in lo...

Utilizing Telemedicine in the Trauma Intensive Care Unit: Does It Impact Teamwork?

BACKGROUND: The aim of this study was to examine the impact of a telemedical robot on trauma intensi...

Bridging a translational gap: using machine learning to improve the prediction of PTSD.

BACKGROUND: Predicting Posttraumatic Stress Disorder (PTSD) is a pre-requisite for targeted preventi...

[Potential applications of large language models in trauma surgery : Opportunities, risks and perspectives].

The integration of large language models (LLM) into the care of trauma surgery patients offers an ex...

CHRONIC CRITICAL ILLNESS IN BONE TRAUMA PATIENTS: AN AI-BASED APPROACH FOR INTENSIVE CARE UNIT HEALTHCARE PROVIDERS.

Background: Chronic critical illness (CCI) is a serious condition characterized by a prolonged cours...

From the Archives-Commentary on "A Machine Learning Algorithm to Estimate the Probability of a True Scaphoid Fracture After Wrist Trauma".