Sexual Assault

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 to calculate the probabilities of various outcomes using new sets of similar data. In medicine, artificial intelligence (AI) has been applied primarily to image-recognition diagnostic tasks and evaluating the probabilities of particular outcomes after treatment. However, the performance and limitati...

[Robotic-assisted supraomohyoid neck dissection via retroauricular hairline incision].

To explore the feasibility of using da Vinci Surgical System to perform supraomohyoid neck dissection (SOND) to avoid visible scar and reduce trauma. Between September 2017 and December 2018, twenty patients (two females and 18 males, mean age, 54.8 years) with oral cancer treated in the Department of Stomatology, Hainan Hospital of General Hospital of Chinese PLA were enrolled in this study. Ei...

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

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 recently shown the ability to predict admission volum...

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 intracranial injury, but it is costly and exposes patients t...

1D Convolutional Neural Networks for Estimation of Compensatory Reserve from Blood Pressure Waveforms.

We propose a Deep Convolutional Neural Network (CNN) architecture for computing a Compensatory Reserve Metric (CRM) for trauma victims suffering from ...

Development of an automatic classifier for the prediction of hearing impairment from industrial noise exposure.

The ISO-1999 [(2013). International Organization for Standardization, Geneva, Switzerland] standard is the most commonly used approach for estimating ...

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 clinical notes of the electronic health record of trauma...

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. Although rare, nonaccidental injuries (NAI) can also caus...

[Digitalization and artificial intelligence in orthopedics and traumatology].

In the course of digitalization it is becoming increasingly rare for medical documents to be handwritten. As a result, digitalization has already beco...

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

The digitalization in medicine has led to almost universal availability of information to different healthcare professionals and accelerated clinical ...

MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.

Bone age assessment (BAA) is a commonly performed diagnostic study in pediatric radiology to assess skeletal maturity. The most commonly utilized meth...

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 artificial neural network (ANN) to predict trauma ...

A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI.

Mild traumatic brain injury is a growing public health problem with an estimated incidence of over 1.7 million people annually in US. Diagnosis is bas...

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 trauma.

Origins of Robotic Surgery: From Skepticism to Standard of Care.

BACKGROUND AND OBJECTIVES: The uses of robotics in surgery were hypothesized as far back as 1967, but it took nearly 30 years and the nation's largest...

Benefit of Critical Care Flight Paramedic-Trained Search and Rescue Corpsmen in Treatment of Severely Injured Aviators.

During routine aircraft start-up procedures at a US Naval Air Station, an aviation mishap occurred, resulting in the pilot suffering a traumatic brain...

Machine Learning for Predicting Outcomes in Trauma.

To date, there are no reviews on machine learning (ML) for predicting outcomes in trauma. Consequently, it remains unclear as to how ML-based predicti...

Assessing Risk for Future Firearms Violence in Young People Who Present to ED.

A new clinical index tool designed specifically for the emergency environment predicts the risk for future firearms violence in young people 14-24 yea...