Latest AI and machine learning research in emergency medicine for healthcare professionals.
PURPOSE: This study sought to determine the feasibility of using Simultaneous Non-contrast Angiograp...
OBJECTIVE: To identify the feasibility of using a deep convolutional neural network (DCNN) for the d...
Apixaban, an inhibitor of direct factor Xa, is used for the treatment of venous thromboembolic event...
Syndromic surveillance detects and monitors individual and population health indicators through sour...
The nematode is often used as an alternative animal model due to several advantages such as morphol...
In 2016, the Frank R. Lautenberg Chemical Safety for the 21st Century Act became the first US legisl...
Posttraumatic stress responses are characterized by a heterogeneity in clinical appearance and etiol...
The purpose of our study is to identify the predictive factors for a minimum clinically successful t...
Equipment parallel simulation is an emerging simulation technology in recent years, and equipment re...
Prediction of biological and toxicological properties of small molecules using in silico approaches ...
Statistical theory indicates that a flexible model can attain a lower generalization error than an i...
Human embryonic stem cells (hESC), derived from the blastocysts, provide unique cellular models for ...
IMPORTANCE: Current approaches to identifying individuals at high risk for opioid overdose target ma...
Humans and wildlife inhabit a world with panoply of natural and synthetic chemicals. Alarmingly, onl...
Computational prioritization of chemicals for potential skin sensitization risks plays essential rol...
Investigating crimes against children, specifically sexual solicitations, are complicated because no...
The cytokinesis-block micronucleus (CBMN) assay has become a fully-validated and standardized method...
Health informatics is a vital technology that holds great promise in the healthcare setting. We desc...
BACKGROUND AND OBJECTIVES: The calcaneus is the most fracture-prone tarsal bone and injuries to the ...
The nuclear androgen receptor (AR) is one of the most relevant biological targets of Endocrine Disru...
BACKGROUND: Emergency medical dispatchers fail to identify approximately 25% of cases of out of hosp...