Emergency Medicine

Exposure to butyl paraben during gestation and lactation in Hsd:Sprague dawley SD rats dosed feed.

Butyl paraben (BPB) is an antimicrobial used in a variety of consumer products. Due to widespread human exposure and reported estrogenic activity, the National Toxicology Program quantified internal exposure during critical periods of development. Time-mated female Hsd:Sprague Dawley SD rats were administered 0, 1500, 5000 or 15,000 ppm BPB NIH-07 feed, , from gestation day (GD) 6 to postnatal da...

Unexpected hemorrhage during robot-assisted laparoscopic prostatectomy: a case report.

BACKGROUND: Robot-assisted laparoscopic prostatectomy is increasingly performed as a minimally invasive option for patients with organ-confined prostate cancer. This technique offers several advantages over other surgical methods. However, concerns have been raised over the effects of the steep head-down tilt necessary during the procedure. We present a case in which head-down positioning and abdo...

Transverse Crack Detection in 3D Angle Interlock Glass Fibre Composites Using Acoustic Emission.

In addition to manufacturing cost and production rates, damage resistance has become a major issue for the composites industry. Three-dimensional (3D)...

Neuro-endocrine effects of aqueous extract of (Linn.) leaf in male Wistar rat model of cyclophosphamide-induced reproductive toxicity.

Cyclophosphamide (CP) is a widely used cytotoxic alkylating agent with antitumor and immunosuppressant properties that is associated with various form...

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 plant was analyzed by GC/MS and examined for its...

Automatic entry point planning for robotic post-mortem CT-based needle placement.

INTRODUCTION: Post-mortem computed tomography guided placement of co-axial introducer needles allows for the extraction of tissue and liquid samples f...

Remote triage support algorithm based on fuzzy logic.

OBJECTIVES: This paper presents a remote triage support algorithm as a part of a complex military telemedicine system which provides continuous monito...

A multiscale modelling of bone ultrastructure elastic proprieties using finite elements simulation and neural network method.

Bone is a living material with a complex hierarchical structure which entails exceptional mechanical properties, including high fracture toughness, sp...

Investigation of the influence of protein corona composition on gold nanoparticle bioactivity using machine learning approaches.

The understanding of the mechanisms and interactions that occur when nanomaterials enter biological systems is important to improve their future use. ...

Development of a compact continuum tubular robotic system for nasopharyngeal biopsy.

Traditional posterior nasopharyngeal biopsy using a flexible nasal endoscope has the risks of abrasion and injury to the nasal mucosa and thus causing...

Differences between Takotsubo cardiomyopathy and reverse Takotsubo cardiomyopathy associated with subarachnoid hemorrhage.

BACKGROUND: Both Takotsubo cardiomyopathy (TTC) and reverse TTC (r-TTC) are characterized by reversible regional wall motion abnormalities of the hear...

Will they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency department.

OBJECTIVE: (1) To develop an automated algorithm to predict a patient's response (ie, if the patient agrees or declines) before he/she is approached f...

Recent advancements in prosthetic hand technology.

Recently, significant advances over the past decade have been made in robotics, artificial intelligence and other cognitive related fields, allowing d...

Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes.

OBJECTIVE: Delayed diagnosis of Kawasaki disease (KD) may lead to serious cardiac complications. We sought to create and test the performance of a nat...

Segmenting Retinal Blood Vessels With Deep Neural Networks.

The condition of the vascular network of human eye is an important diagnostic factor in ophthalmology. Its segmentation in fundus imaging is a nontriv...

A Novel Tool for Evaluation of Mild Traumatic Brain Injury Patients in the Emergency Department: Does Robotic Assessment of Neuromotor Performance Following Injury Predict the Presence of Postconcussion Symptoms at Follow-up?

OBJECTIVES: Postconcussion symptoms (PCS) are a common complication of mild traumatic brain injury (TBI). Currently, there is no validated clinically ...

Modelling the removal of volatile pollutants under transient conditions in a two-stage bioreactor using artificial neural networks.

A two-stage biological waste gas treatment system consisting of a first stage biotrickling filter (BTF) and second stage biofilter (BF) was tested for...

Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.

OBJECTIVES: Predictive analytics in emergency care has mostly been limited to the use of clinical decision rules (CDRs) in the form of simple heuristi...

Combining Amplitude Spectrum Area with Previous Shock Information Using Neural Networks Improves Prediction Performance of Defibrillation Outcome for Subsequent Shocks in Out-Of-Hospital Cardiac Arrest Patients.

OBJECTIVE: Quantitative ventricular fibrillation (VF) waveform analysis is a potentially powerful tool to optimize defibrillation. However, whether co...

Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images.

Convolutional neural networks (CNNs) are deep learning network architectures that have pushed forward the state-of-the-art in a range of computer visi...