Sexual Assault

Risk assessment for intra-abdominal injury following blunt trauma in children: Derivation and validation of a machine learning model.

BACKGROUND: Computed tomography is the criterion standard for diagnosing intra-abdominal injury (IAI...

Assessment of a Deep Learning Algorithm for the Detection of Rib Fractures on Whole-Body Trauma Computed Tomography.

OBJECTIVE: To assess the diagnostic performance of a deep learning-based algorithm for automated det...

Natural language processing of prehospital emergency medical services trauma records allows for automated characterization of treatment appropriateness.

BACKGROUND: Incomplete prehospital trauma care is a significant contributor to preventable deaths. C...

Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT.

The volume of pelvic hematoma at CT has been shown to be the strongest independent predictor of majo...

A Machine Learning-Based Model to Predict Acute Traumatic Coagulopathy in Trauma Patients Upon Emergency Hospitalization.

Acute traumatic coagulopathy (ATC) is an extremely common but silent murderer; this condition presen...

What Are the Applications and Limitations of Artificial Intelligence for Fracture Detection and Classification in Orthopaedic Trauma Imaging? A Systematic Review.

BACKGROUND: Artificial-intelligence algorithms derive rules and patterns from large amounts of data ...

Identifying the Long-term Brain Changes Associated With Childhood Trauma Exposure Using Data-Driven Machine Learning Techniques.

Comparison of Machine Learning Optimal Classification Trees With the Pediatric Emergency Care Applied Research Network Head Trauma Decision Rules.

IMPORTANCE: Computed tomographic (CT) scanning is the standard for the rapid diagnosis of intracrani...

Artificial neural networks can predict trauma volume and acuity regardless of center size and geography: A multicenter study.

BACKGROUND: Trauma has long been considered unpredictable. Artificial neural networks (ANN) have rec...

Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.

OBJECTIVE: Alcohol misuse is present in over a quarter of trauma patients. Information in the clinic...

Animal Bite in a 6-month-old Child and Facial Injury with Associated Unusual Nasal Injury: Management of Injuries along with 1-year Follow-up.

UNLABELLED: In children, accidental injuries (AI) are the most common cause of major trauma. Althoug...

[Big data and deep learning in preventive and rehabilitation medicine].

The digitalization in medicine has led to almost universal availability of information to different ...

Artificial intelligence can predict daily trauma volume and average acuity.

BACKGROUND: The goal of this study was to integrate temporal and weather data in order to create an ...

Robotics in trauma and orthopaedics.

Recent advances and review of literature

Machine Learning Models for Prediction of Reinjury After Penetrating Trauma.

This study compares several machine learning models for prediction of reinjury after penetrating tra...

Machine Learning for Predicting Outcomes in Trauma.

To date, there are no reviews on machine learning (ML) for predicting outcomes in trauma. Consequent...

Extracting Sexual Trauma Mentions from Electronic Medical Notes Using Natural Language Processing.

Patient history of sexual trauma is of clinical relevance to healthcare providers as survivors face ...

Fuzzy Logic to Determine the Likelihood of Survival for Trauma Injury Patients.

A system to determine the likelihood of survival for trauma injury patients is being developed. It u...

Cell Free DNA and Procalcitonin as Early Markers of Complications in ICU Patients with Multiple Trauma and Major Surgery.

BACKGROUND: Cell free DNA (cfDNA) was recently suggested as a new marker of sepsis and poor outcome ...

Machine learning and new vital signs monitoring in civilian en route care: A systematic review of the literature and future implications for the military.

BACKGROUND: Although air transport medical services are today an integral part of trauma systems in ...

Robotic surgery in trauma and orthopaedics: a systematic review.

The use of robots in orthopaedic surgery is an emerging field that is gaining momentum. It has the p...