Emergency Medicine

Detecting Intracranial Hemorrhage with Deep Learning.

Initial results are reported on automated detection of intracranial hemorrhage from CT, which would be valuable in a computer-aided diagnosis system to help the radiologist detect subtle hemorrhages. Previous work has taken a classic approach involving multiple steps of alignment, image processing, image corrections, handcrafted feature extraction, and classification. Our current work instead uses...

Mahalanobis Outier Removal for Improving the Non-Viable Detection on Human Injuries.

Machine learning techniques have been recently applied for discriminating between Viable and Non-Viable tissues in animal wounds, to help surgeons to identify areas that need to be excised in the process of burn debridement. However, the presence of outliers in the training data set can degrade the performance of that discrimination. This paper presents an outlier removal technique based on the Ma...

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...

Introducing a Novel Layer in Convolutional Neural Network for Automatic Identification of Diabetic Retinopathy.

Convolutional neural networks have been widely used for identifying diabetic retinopathy on color fundus images. For such application, we proposed a n...

[Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].

To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to compare the prediction performance of machine learn...

An intelligent algorithm for optimizing emergency department job and patient satisfaction.

Purpose Resilience engineering, job satisfaction and patient satisfaction were evaluated and analyzed in one Tehran emergency department (ED) to deter...

Robotics in trauma and orthopaedics.

Recent advances and review of literature

[Advances in the research of application of artificial intelligence in burn field].

Artificial intelligence has been able to automatically learn and judge large-scale data to some extent. Based on database of a large amount of burn da...

Data-Adaptive Estimation for Double-Robust Methods in Population-Based Cancer Epidemiology: Risk Differences for Lung Cancer Mortality by Emergency Presentation.

In this paper, we propose a structural framework for population-based cancer epidemiology and evaluate the performance of double-robust estimators for...

Investigating the Generalizability of the MultiFlow ® DNA Damage Assay and Several Companion Machine Learning Models With a Set of 103 Diverse Test Chemicals.

The in vitro MultiFlow DNA Damage assay multiplexes p53, γH2AX, phospho-histone H3, and polyploidization biomarkers into 1 flow cytometric analysis (B...

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...

Network pharmacology-based analysis of Chinese herbal Naodesheng formula for application to Alzheimer's disease.

Naodesheng (NDS) formula, which consists of Rhizoma Chuanxiong, Lobed Kudzuvine, Carthamus tinctorius, Radix Notoginseng, and Crataegus pinnatifida, i...

Using Machine Learning Approaches for Emergency Room Visit Prediction Based on Electronic Health Record Data.

Emergency room(ER) visit prediction, especially whether visit ER or not and ER visit count, is crucial for hospitals to reasonably adapt resource allo...

Machine Learning Methods in Computational Toxicology.

Various methods of machine learning, supervised and unsupervised, linear and nonlinear, classification and regression, in combination with various typ...

Quro: Facilitating User Symptom Check Using a Personalised Chatbot-Oriented Dialogue System.

Automated conversational agents built with medical applications in mind, have the potential to reduce healthcare readmissions and improve accessibilit...

Automatic Annotation Tool to Support Supervised Machine Learning for Scaphoid Fracture Detection.

The aim of this work is to develop and validate an automatic annotation tool for the detection and bone localization of scaphoid fractures in radiolog...

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...

[Changes of platelet rheological behavior and the interventional effects of ulinastatin in rats with high-voltage electrical burns].

To explore the influence of high-voltage electrical burns on the number of platelet aggregation, β-thromboglobulin (β-TG) and platelet factor 4 (PF-4...

[Effectiveness of improved elbow anteromedial approach in treatment of ulna coronoid process fracture].

OBJECTIVE: To observe the effectiveness of reduction and fixation by the improved elbow anteromedial approach in treatment of ulna coronoid process fr...