Latest AI and machine learning research in domestic violence for healthcare professionals.
Diabetic retinopathy, glaucoma, and age-related macular degeneration are leading causes of vision lo...
Recently, mimic enzymes have obtained particular interest by their high activity, stability, and bio...
The intentional distortion of test results presents a fundamental problem to self-report-based psych...
BACKGROUND: Although gastric cancer is a malignancy with high morbidity and mortality in China, the ...
BACKGROUND: Patient falls, the most common safety events resulting in adverse patient outcomes, impo...
INTRODUCTION: Calcitonin (Ctn) is a hormone secreted by thyroid "C" cells and is considered an excel...
Substance abuse carries many negative health consequences. Detailed information about patients' subs...
The purpose of this study was to identify an optimal definition of massive transfusion in civilian p...
Toxicity is an important factor in failed drug development, and its efficient identification and pre...
The volume of high throughput screening data has considerably increased since the beginning of the a...
Adenomatous polyps are a common precursor lesion for colorectal cancer. ColonFlag is a machine- lear...
BACKGROUND: Human Down syndrome (DS) is usually caused by genomic micro-duplications and dosage imba...
A biosensor that could simultaneously detect multi-analyte as many as in a single test is more favor...
Opioids are widely used for treating different types of pains, but overuse and abuse of prescription...
TOPIC: Diagnostic performance of deep learning-based algorithms in screening patients with diabetes ...
Posttraumatic stress disorder (PTSD) develops in a substantial minority of emergency room admits. In...
Social media may provide new insight into our understanding of substance use and addiction. In this ...
AIM: Because severe trauma patients frequently manifest coagulopathy, it is extremely important to d...
Machine learning has shown enormous potential for computer-aided drug discovery. Here we show how mo...
PURPOSE: False positives in digital mammography screening lead to high recall rates, resulting in un...
PURPOSE: To use a natural language processing and machine learning algorithm to evaluate inter-radio...