Primary Care

Clinical and Metabolomic Panel for Noninvasive Screening of Biopsy-Confirmed MASH in Children and Adolescents.

BACKGROUND & AIMS: Noninvasive tests to identify pediatric metabolic dysfunction-associated steatohe...

Technology and Obesity: A Year in Review.

SMART technological advancements help diagnose, treat, and monitor various diseases at the earliest ...

Non-Oncology Biomarkers in Precision Medicine: A Narrative Review.

Precision medicine has revolutionized oncology by leveraging biomarkers for individualized therapy s...

Pooled two-cohort MRI body composition phenotyping with open-source deep learning.

BACKGROUND: Body mass index fails to capture variation in fat and muscle distribution that determine...

Automated artificial intelligence performance for longitudinal pulmonary nodule matching in lung cancer screening.

Accurate longitudinal nodule matching is a critical technical prerequisite for automated growth rate...

Myocardial Fibrosis in Pediatric Heart Disease: Mechanisms, Imaging Biomarkers, Clinical Consequences, and Emerging Antifibrotic Therapies.

Myocardial fibrosis is increasingly recognized as a central determinant of adverse cardiac remodelin...

Personalized evaluation of NT-proBNP and clinical characteristics in suspected heart failure: the PRECISE-HF study.

BACKGROUND AND AIMS: N-terminal pro-B-type natriuretic peptide (NT-proBNP) is recommended to guide e...

The Forcing Factors That Predict Obesity: A Cross-Sectional Multilevel Machine Learning Model of US County-Level Prevalence.

OBJECTIVE: Variables predicting obesity are not limited to individual-level risk factors. The purpos...

Structural Heart Interventions in Women with Congenital Heart Disease.

PURPOSE OF REVIEW: To provide a review of current transcatheter interventions in women with congenit...

Dockformer: A Transformer-Based Molecular Docking Paradigm for Large-Scale Virtual Screening.

Molecular docking is a critical step in drug development, enabling the virtual screening of compound...

Risks of Major Adverse Kidney Events in Non-Hispanic Black Patients with Diabetes or Hypertension: A real-world cohort study.

INTRODUCTION: Chronic kidney disease (CKD) disproportionately burdens non-Hispanic Black (NHB) patie...

Leveraging artificial intelligence in the early detection of ovarian cancer: Development and validation of a risk prediction model.

OBJECTIVE: To develop and validate a predictive tool to estimate the risk of ovarian cancer in a scr...

Daily 1 km satellite-based PM2.5 exposure estimates in Bangladesh, 2020-2025: spatiotemporal patterns and implications for environmental health.

Bangladesh experiences some of the highest ambient PM2.5 concentrations globally and remains one of ...

Community-based paediatric eye care in low- and middle-income countries: bridging the gap between policy and practice.

Childhood visual impairment and blindness remain major public health concerns in low- and middle-inc...

Performance and label efficiency of traditional deep-learning models and a retina-specific foundation model for ocular and systemic disease detection: a retrospective comparative study.

BACKGROUND: RETFound, a self-supervised retina-specific foundation model, has shown potential in dow...

Machine learning-based prediction model for predicting the impact of insulin resistance on the risk of ischemic cardiomyopathy.

BACKGROUND: The triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio and triglyceri...

Ligustilide and tectoridin from Danggui Buxue Decoction synergistically attenuate atherosclerosis by targeting the CD36/TRPM2 axis and TNF-α/NF-κB pathway.

BACKGROUND: Atherosclerosis (AS) is a common chronic disease and the primary pathological basis for ...

Enhanced diabetic retinopathy detection via multimodal fusion of fundus imaging features and clinical demographic information using verifiable convolutional neural network.

Traditional systems of ocular disease diagnosis and many deep learning-based systems are limited in ...

Transformative role of AI in primary care: What does it take to control hypertension?

Machine Learning-Based Risk Stratification Tool for Hearing Loss in High-Risk Neonates.

OBJECTIVE: This study aims to develop and evaluate a machine learning-based risk stratification tool...

Development and Validation of an Interpretable Machine Learning Model for Predicting In-Hospital Mortality in Diabetic Patients with Sepsis-Associated Acute Kidney Injury.

BackgroundSepsis-associated acute kidney injury (SA-AKI) is a common and severe complication in crit...