Latest AI and machine learning research in primary care for healthcare professionals.
Although machine learning is frequently used in medicine for predictive purposes, its accuracy in di...
BACKGROUND: Breast cancer screening is considered an effective early detection strategy. Artificial ...
OBJECTIVE: The purpose of this study is to compare radiologists' breast cancer screening performance...
The analysis of blood metabolites may help identify individuals at risk of having COPD and offer ins...
: PSMA PET is essential tool in the management of prostate cancer (PCa) patients in various clinical...
: This study introduces a novel method for the automated detection and quantification of meibomian g...
INTRODUCTION: Risk assessment for high-risk populations is critical for preventing Type 2 Diabetes M...
PURPOSE: Over 30 international studies are exploring newborn sequencing (NBSeq) to expand the range ...
Meniere disease (MD) is a common inner ear disorder closely related to immune abnormalities, but res...
Atopic dermatitis (AD) is a chronic, inflammatory skin disorder that affects individuals across the ...
The study aimed to develop a predictive model using machine learning algorithms, providing healthcar...
High-content screening (HCS) for bioimaging is a powerful approach to studying biological processes,...
The recent emergence of wearable devices will enable large scale remote brain monitoring. This study...
BACKGROUND: Diabetes has emerged as a critical global public health crisis. Prediabetes, as the tran...
RATIONALE: Pulmonary hypertension (PH) poses a significant health threat. Current biomarkers for PH ...
Butyrylcholinesterase (BChE), plays a critical role in alleviating the symptoms of Alzheimer's disea...
Spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurodegenerative disorder marked by c...
The complexity and heterogeneity of cancer makes early detection and effective treatment crucial to ...
Early detection of lung cancer is crucial for improving survival rates because it allows for potenti...
OBJECTIVE: This study validated the artificial intelligence (AI)-based algorithm LuxIA for screening...
Emerging contaminants (ECs) can exert irreversible health impacts on humans, even at trace concentra...