Latest AI and machine learning research in primary care for healthcare professionals.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (...
Real-time monitoring of intracranial pressure (ICP) is a routine part of neurocritical care in the m...
The primary ocular effect of diabetes is diabetic retinopathy (DR), which is associated with diabeti...
PURPOSE: This study aims to harness machine learning techniques, particularly the Random Survival Fo...
BACKGROUND: Lung cancer screening (LCS) with low-dose CT (LDCT) reduces lung-cancer-related mortalit...
Chemically induced neurotoxicity is a critical aspect of chemical safety assessment. Traditional and...
Diabetes has become a global epidemic, contributing to significant health challenges due to its com...
The gut microbiome, recognized as a critical component in the development of chronic diseases and ag...
The traditional machine learning methods such as decision tree (DT), random forest (RF), and support...
Identifying which patients should undergo serologic screening for celiac disease (CD) may help diagn...
PURPOSE: This study aims to evaluate the inter-observer variability in assessing the optic disc in f...
Digital therapeutics (DTx) are an emerging medical therapy comprising evidence-based interventions t...
The use of artificial intelligence (AI) in diabetes management is emerging as a promising solution t...
AIM: We aimed to identify the characteristics of patients with diabetes who can derive cognitive ben...
INTRODUCTION: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the l...
Human respiratory syncytial virus (RSV) remains a significant global health threat, particularly for...
BACKGROUND: Obstructive sleep apnea (OSA) is common after stroke. Still, routine screening of OSA wi...
OBJECTIVE: This preliminary study tested whether non-invasive, remote Elastic Scattering Spectroscop...
Preeclampsia is one of the leading causes of maternal morbidity, with consequences during and after ...
OBJECTIVES: Type 2 diabetes mellitus is a disease with a rising prevalence worldwide. Person-centere...
BACKGROUND: Recurrent pregnancy loss (RPL) poses significant challenges in clinical management due t...