Latest AI and machine learning research in primary care for healthcare professionals.
Management of cardiovascular risk factors in diabetes demands special attention due to their co-exis...
Automation-assisted cervical screening via Pap smear or liquid-based cytology (LBC) is a highly effe...
BACKGROUND: A bulla is a marked enlarged space within the parenchyma of the lung. Bullae may cause d...
Drug-induced abnormal heart rhythm known as (TdP) is a potential lethal ventricular tachycardia fou...
One of the areas where Artificial Intelligence is having more impact is machine learning, which deve...
A new family of imidazo[4,5-c][1,2,6]thiadiazine 2,2-dioxide with antiproliferative Trypanosoma cruz...
Deep learning is quickly becoming the leading methodology for medical image analysis. Given a large ...
BACKGROUND AND PURPOSE: The timely diagnosis of stroke at the initial examination is extremely impor...
Intracranial Hypertension, a disorder characterized by elevated pressure in the brain, is typically ...
The introduction of lung cancer screening programs will produce an unprecedented amount of chest CT ...
Personalized predictive medicine necessitates the modeling of patient illness and care processes, wh...
The machine learning-based virtual screening of molecular databases is a commonly used approach to i...
BACKGROUND: Current approaches to predict cardiovascular risk fail to identify many people who would...
Individualized medical decision making is often complex due to patient treatment response heterogene...
Studies on autism spectrum disorder (ASD) have indicated several dysfunctions in the structure, and ...
The carbonylation is found as an irreversible post-translational modification and considered a bioma...
BACKGROUND: A family of parsimonious Gaussian mixture models for the biclustering of gene expression...
Diabetic nephropathy (DN) is the leading cause of endstage renal disease (ESRD) in developed countri...
We sought to evaluate whether unbiased machine learning of dense phenotypic data ("phenomapping") co...
We propose a methodology to predict the cardiac epicardial and mediastinal fat volumes in computed t...
We demonstrate the use of high-throughput biodosimetry platforms based on commercial high-throughput...