Latest AI and machine learning research in primary care for healthcare professionals.
BackgroundLanguage deficits often occur early in the neurodegenerative process, yet traditional meth...
Coronary artery disease (CAD) is highly prevalent among pilots due to the nature of their lifestyle,...
PURPOSE: Low-dose computed tomography (LDCT) screening is effective in reducing lung cancer mortalit...
BACKGROUND: Diabetic retinopathy is one of the leading causes of blindness globally, among individua...
PurposeTo identify parameters that are significant risk predictors of visual field (VF) progression ...
Genetic toxicology is crucial for evaluating the potential risks of chemicals and drugs to human hea...
Artificial intelligence (AI) has emerged as a transformative tool in healthcare through data analysi...
INTRODUCTION: Concerns regarding suicide rates and declining mental health among service members hig...
Effective management of obesity and type 2 diabetes is a major global public health challenge that r...
Depression, a prevalent mental health disorder with severe health and economic consequences, can be ...
As the most common complication of diabetes, diabetic retinopathy (DR) is one of the main causes of ...
Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality worldwide. ...
Diabetes is a widespread condition that can lead to serious vision problems over time. Timely identi...
BACKGROUND: The effects of traditional health-promoting and preventive interventions in mental healt...
This study aims to conduct a comprehensive and in-depth analysis of the marketing performance of e-c...
BACKGROUND: Population aging increases the economic burden of Alzheimer's disease (AD). Early screen...
Chronic diseases are a critical focus in the management of elderly health. Early disease prediction ...
Human metapneumovirus (hMPV) primarily causes respiratory tract infections in young children and old...
RATIONALE AND OBJECTIVES: To explore the feasibility of deep learning (DL)-enhanced, fully automated...
Ensemble learning (EL), a machine learning technique that combines the results of multiple learning ...
Type 2 diabetes mellitus (T2DM) is a widespread metabolic disorder characterized by impaired regulat...