Latest AI and machine learning research in primary care for healthcare professionals.
Artificial intelligence (AI) improves the accuracy of mammography screening, but prospective evidenc...
Cervical cancer (CC) is the leading cancer, which mainly affects women worldwide. It generally occur...
INTRODUCTION: Cellular Communication Network Factor 6 (CCN6) is an adipokine whose production underg...
BACKGROUND: Radiation dermatitis (RD) is a significant side effect of radiotherapy experienced by br...
BACKGROUND/AIMS: Early recognition of eyelid morphological abnormalities was crucial, as untreated c...
Chronic respiratory diseases affect people worldwide, but conventional diagnostic methods may not be...
Effect heterogeneity analyses using causal machine learning algorithms have gained popularity in rec...
BACKGROUND: Machine learning (ML) models are being increasingly employed to predict the risk of deve...
The Artificial Intelligence Patient Librarian (AIPL) was designed to meet the psychosocial and suppo...
AIMS: Several Artificial Intelligence (AI) based predictive tools have been developed to predict non...
OBJECTIVES: Sarcopenic obesity (SO), characterized by the coexistence of obesity and sarcopenia, is ...
BACKGROUND: Metabolic diseases (MDs), exemplified by diabetes, hypertension, and dyslipidemia, have ...
Developing reliable noninvasive diagnostic and monitoring systems for diabetes remains a significant...
AIMS: This study investigated the role of plasma proteins in obesity to identify predictive biomarke...
Lipid droplets (LDs) are dynamic organelles that are present in almost all cell types, with a partic...
BACKGROUND: Nocturnal hypoglycemia poses significant risks to individuals with insulin-treated diabe...
INTRODUCTION: Current methods to detect hypoglycemia in type 1 diabetes (T1D) require invasive senso...
Diabetic foot ulcers (DFUs) are a common and serious complication of diabetes, presenting as open so...
To analyze radiomics features of cardiac adipose tissue in individuals with type 2 diabetes (T2DM) a...
BACKGROUND: Recent advancements in generative artificial intelligence (AI) have opened new avenues i...
AIM: To synthesise existing evidence concerning the application of AI methods in detecting depressio...