Latest AI and machine learning research in primary care for healthcare professionals.
Microbial contamination of recreational and source waters poses persistent public health risks, yet conventional monitoring based on laboratory culture methods provides delayed results and limited temporal resolution. These constraints hinder timely identification of short-duration contamination events and effective management of recreation advisories. This study evaluates the performance of a con...
Road traffic crash is one of the top leading causes of death worldwide. To support the deployment of modern safety improvements such as Highly Automated Driving (HAD), collision analysis requires to reveal crash formation and find the root-causes. This study explores Large Language Model (LLM)-based techniques to reconstruct the crash causation chain, and reveal the root-causes underlying crash oc...
BACKGROUND: Heart failure (HF) decompensation is the leading cause of hospitalisations in developed countries and the third most common cause in Brazi...
Obesity is a complex metabolic disease characterized by systemic metabolic and inflammatory dysregulation, yet the molecular signatures underlying the...
BACKGROUND: Complication risks in children and adolescents with type 1 diabetes (T1D) can lead to serious health outcomes if not detected early. Despi...
BACKGROUND: With the rapidly aging population, mental health among older adults has received growing attention. Although the likelihood of experiencin...
Population-based diabetic retinopathy (DR) screening requires diagnostic strategies that optimize clinical utility by balancing missed disease against...
UNLABELLED: Immunization is one of the most effective interventions to prevent infectious diseases. Identifying individuals at risk of non-adherence t...
OBJECTIVES: To develop and validate interpretable machine learning (ML) models incorporating MRI-derived paraspinal muscle parameters to predict new v...
Although many predictive models for metabolic dysfunction-associated steatotic liver disease (MASLD) have been developed, their performance remains su...
BACKGROUND: Coal-dust, a persistent airborne pollutant, induces dose-related pulmonary fibrosis; however, plasma biomarkers for pre-clinical toxicity ...
BACKGROUND: Sleep apnea syndrome (SAS) is closely related to an increased risk of non-alcoholic fatty liver disease (NAFLD), but current clinical tool...
Microcystins (MCs), the potent hepatotoxins produced by toxic strains of Microcystis and other cyanobacteria, pose a major threat to freshwater ecosys...
Cardiovascular-kidney-metabolic disease (CKM) represents a growing public health challenge driven by the convergence of obesity, diabetes, and cardiov...
Structure-based virtual screening (SBVS) is a widely used approach in in silico drug discovery, requiring a receptor structure or binding site to pred...
OBJECTIVE: To explore clinically meaningful phenotypes of preeclampsia using unsupervised machine learning. DESIGN: Prospective cohort study. SETTING:...
Morphologic risk stratification for anterior cruciate ligament injury has historically relied upon isolated two-dimensional radiographic parameters (e...
IMPORTANCE: Soccer is associated with a substantial global injury burden, particularly involving lower-extremity and head injuries. Despite extensive ...
BACKGROUND: Sybil is a deep learning model designed to predict future lung cancer risk based on a single low-dose chest CT (LDCT) scan, facilitating a...
BACKGROUND: Cerebral small vessel disease (CSVD) is a major contributor to vascular dementia. Given the absence of effective treatments, the developme...