Primary Care

Joint Associations of Type D Personality and Allostatic Load With Coronary Artery Disease in Type 2 Diabetes: Evaluating the Role of Allostatic Load.

OBJECTIVE: This study aimed to (1) evaluate and compare the independent associations and predictive strength of type D personality and allostatic load (AL) against traditional risk factors for coronary artery disease (CAD) in patients with type 2 diabetes (T2DM), (2) explore the potential mediating role of AL in the association between type D personality and CAD, and (3) investigate their joint ef...

Gut microbiome profiles and associated functional pathways are linked to Mediterranean diet adherence and blood glucose control in adults with type 1 diabetes mellitus.

BACKGROUND AND AIMS: The Mediterranean diet (MD) has been associated with better glycaemic control in children with type 1 diabetes mellitus (T1DM) and favourable microbiome profiles in healthy individuals. However, it remains unclear whether MD adherence is associated with glycaemic control via microbiome. This study examined the relationships among MD adherence, gut microbiome, and glycaemic con...

Enhancing identification confidence in non-targeted screening of emerging contaminants via an ensemble retention time prediction model: Applications in screening and ecological risk assessment.

The increasing emerging contaminants (ECs) pose significant challenges to non-targeted screening (NTS) and annotation. Machine learning-based retentio...

Prospective validation of deep-learning algorithms for diabetic retinopathy screening: A systematic review and meta-analysis.

Deep-learning (DL) algorithms are widely promoted for diabetic-retinopathy (DR) screening, yet their prospective diagnostic accuracy is not well defin...

Diabetes-linked metabolic dysfunction relates with distinct tau phosphorylation patterns, neuroinflammation and cognitive impairment in mouse models of Alzheimer's disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-β plaques and tau neurofibrillary tangles, with tau path...

Building and validating a machine learning model to predict coronary heart disease risk based on non-invasive indicators.

BACKGROUND: Coronary heart disease (CHD) remains a leading global cause of death. Early identification of high-risk individuals and timely interventio...

The evolving landscape of screening, management and treatment strategies of aortic stenosis in ATTR amyloidosis.

Transthyretin amyloid cardiomyopathy (ATTR-CM) and aortic stenosis (AS) frequently coexist in elderly patients, particularly men, creating a complex c...

Understanding unrealized trial enrollments following patient-to-trial matching with large language models.

BACKGROUND: Clinical trials are essential for advancing cancer care, but identifying eligible patients in surgical clinics can be challenging due to t...

Digital Dentistry in Clinical Practice: A Scoping Review of Current Capabilities and Future Directions.

Digital technologies are transforming oral healthcare by enhancing prevention, diagnostics, treatment, and maintenance procedures. However, few compre...

QENNA: A quantum-enhanced neural network for early Alzheimer's detection using magnetic resonance imaging.

Early detection of Alzheimer's disease (AD) is essential for effective clinical intervention and disease management. However, conventional Deep Learni...

Personalized adrenal gland volume reference ranges and development of a fully automated deep learning screening tool.

OBJECTIVE: This study aims to develop a low-dose CT-based, fully automated deep learning tool for screening adrenal gland volume abnormalities and est...

Machine Learning-Based Prediction of Postoperative Vasoplegia After Cardiac Surgery.

OBJECTIVE: To develop and internally validate a machine-learning model for the early prediction of postoperative vasoplegia after cardiac surgery. DES...

Peripapillary Choroidal Vascularity Index for Differentiating Papilledema from Pseudopapilledema: A Deep Learning-Based Approach.

PURPOSE: To compare the peripapillary choroidal vascularity index (PPCVI) in eyes with papilledema secondary to idiopathic intracranial hypertension (...

Acetyl tributyl citrate induces intestinal toxicity by regulating the IDH2/NF-κB pathway and lipid peroxidation.

In recent years, the increasing prevalence of environmental pollutants has raised concerns about their potential role in intestinal-related diseases. ...

Perspectives on screening in retinopathy of prematurity: new algorithms and AI tools.

Retinopathy of prematurity (ROP) is a vasoproliferative blinding disorder of the retina, unique to premature infants and a leading cause of preventabl...

Revisiting KANET in the context of fetal connectomics: defining optimal gestational windows for neurodevelopmental screening.

OBJECTIVES: To introduce the KANET-connectome matrix (KANET-Con) as a conceptual framework linking fetal behaviors observed on four-dimensional (4D) u...

Healthbots for conducting clinical screening and remote monitoring with patient mood assessment: A scoping review.

BACKGROUND: Patient mood assessment is key in managing chronic diseases but is often overlooked. Although conversational agents enhance telemonitoring...

How Technology Can Increase Access to Sleep Health Care.

Sleep disorders, like insomnia and sleep apnea, affect millions globally and negatively impact health and well-being. Traditional barriers such as geo...

Practice of Cytopathology in Korea: A 40-Year Evolution Through Standardization, Digital Transformation, and Global Partnership.

Over four decades, Korea has advanced from a limited cytology service to a global model of digital and AI-integrated cytopathology. Since the founding...

Use of Expected Utility to Evaluate Artificial Intelligence-Enabled Rule-out Devices for Mammography Screening.

BackgroundAn artificial intelligence (AI)-enabled rule-out device may autonomously remove patient images unlikely to have cancer from radiologist revi...