Latest AI and machine learning research in primary care for healthcare professionals.
Vitamin D insufficiency has been associated with faster progression of atherosclerosis and increase...
AIM: To develop a screening tool for the detection of interstitial lung disease (ILD) patterns using...
BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR), which is generally diagnosed by the presence of...
Learning from outliers and imbalanced data remains one of the major difficulties for machine learnin...
: Abdominal adiposity is an important risk factor of chronic cardiovascular diseases, thus the predi...
Achieving glycemic control in critical care patients is of paramount importance, and has been linke...
OBJECTIVE: To construct and internally validate prediction models to estimate the risk of long-term ...
Accurate identification of compound-protein interactions (CPIs) in silico may deepen our understandi...
INTRODUCTION: Research has shown that frailty, a geriatric syndrome associated with an increased ris...
Untargeted metabolomics may become a standard approach to address diagnostic requests, but, at prese...
PURPOSE OF REVIEW: Machine learning (ML) is increasingly being studied for the screening, diagnosis,...
Nearly half of all Americans will develop cancer at least once in their lifetime. Through improved s...
Recently, combining feature extraction and classification method of electroencephalogram (EEG) signa...
PURPOSE: To develop and evaluate a deep learning (DL) system for retinal hemorrhage (RH) screening u...
Based on the development of automatic devices and rapid assay methods, various high-throughput scree...
In the last decades, large datasets of fundus photographs have been collected in diabetic retinopath...
Artificial intelligence holds great promise in terms of beneficial, accurate and effective preventiv...
Genome-wide association analyses have uncovered multiple genomic regions associated with T2D, but id...
Sepsis is one of the biggest risks to patient safety, with a natural mortality rate between 25% and ...
To address substantial heterogeneity in patient response to treatment of chronic disorders and achie...
There is growing interest in the potential of artificial intelligence to support decision-making in ...