Latest AI and machine learning research in primary care for healthcare professionals.
BackgroundPatients with sepsis-associated liver injury (SALI) are at marked risk of delirium, a seve...
UNLABELLED: Osteoporosis is a major and growing health concern in the Asia-Pacific region, y et it r...
BACKGROUND AND OBJECTIVE: Artificial Intelligence (AI) is seen as a potential solution to alleviate ...
AIMS: To develop a machine learning framework for predicting type 2 diabetes mellitus (T2DM) using a...
Road traffic crash is one of the top leading causes of death worldwide. To support the deployment of...
BACKGROUND: Heart failure (HF) decompensation is the leading cause of hospitalisations in developed ...
Obesity is a complex metabolic disease characterized by systemic metabolic and inflammatory dysregul...
BACKGROUND: Complication risks in children and adolescents with type 1 diabetes (T1D) can lead to se...
BACKGROUND: With the rapidly aging population, mental health among older adults has received growing...
UNLABELLED: Immunization is one of the most effective interventions to prevent infectious diseases. ...
OBJECTIVES: To develop and validate interpretable machine learning (ML) models incorporating MRI-der...
Although many predictive models for metabolic dysfunction-associated steatotic liver disease (MASLD)...
BACKGROUND: Sleep apnea syndrome (SAS) is closely related to an increased risk of non-alcoholic fatt...
Sleep disorders exhibit substantial heterogeneity, and traditional classifications may not fully cap...
Microcystins (MCs), the potent hepatotoxins produced by toxic strains of Microcystis and other cyano...
Cardiovascular-kidney-metabolic disease (CKM) represents a growing public health challenge driven by...
Structure-based virtual screening (SBVS) is a widely used approach in in silico drug discovery, requ...
OBJECTIVE: To explore clinically meaningful phenotypes of preeclampsia using unsupervised machine le...
Morphologic risk stratification for anterior cruciate ligament injury has historically relied upon i...
BACKGROUND: Sybil is a deep learning model designed to predict future lung cancer risk based on a si...
BACKGROUND: Cerebral small vessel disease (CSVD) is a major contributor to vascular dementia. Given ...