Primary Care

Validation of remote multimodal AI screening for Parkinson disease across diverse settings.

BACKGROUND: Timely detection of Parkinson's disease (PD) remains limited by reliance on in-person ne...

Use of Machine-Learning Models to Identify Clinical Features Associated With A Future Clinical Worsening Event in Patients With Pulmonary Arterial Hypertension.

Clinical worsening events are increasingly recognized as a meaningful outcome in pulmonary arterial ...

An epidemiological study of Parkinson's disease in Chinese older adults using the Global Burden of Disease and China Health and Retirement Longitudinal Study databases.

INTRODUCTION: The prevalence of Parkinson's disease (PD) has increased globally, especially in China...

EDC Profiler: A High-Throughput Screening Server for Identifying Endocrine Disrupting Chemicals toward Multiple Nuclear Receptors.

Endocrine disrupting chemicals (EDCs) are associated with various adverse health outcomes, thus nece...

Publisher Correction: Machine Learning Models for Predicting Significant Liver Fibrosis in Patients with Severe Obesity and Nonalcoholic Fatty Liver Disease.

Regional disparities and metabolic determinants of type 2 diabetes in women aged 55 and older.

OBJECTIVE: To assess long-term trends, regional disparities, determinants, and quality of care for t...

Prognostic significance of right ventricular myocardial features derived from echocardiography using a deep learning framework in pulmonary arterial hypertension.

BACKGROUND: The function and myocardial characteristics of the right ventricle (RV) are linked to RV...

Anxiety and Depression Associated With the Dependent Use of Generative AI in Medical Students: Cross-Sectional Study.

BACKGROUND: The growing integration of artificial intelligence (AI) in higher education has transfor...

Feasibility and Acceptability of a Prevention-Focused Screener for Perinatal Depression Risk: Mixed Methods Cohort Study.

BACKGROUND: More than 20% of perinatal women experience depression, with suicide being a leading cau...

Artificial intelligence-assisted peri-operative echocardiography: a multicentre observational study.

INTRODUCTION: Point-of-care transthoracic echocardiography performed by anaesthetists can influence ...

Topology-preserving, diameter-specific framework for conjunctival vessel segmentation and tortuosity analysis in diabetes.

Diabetes is associated with progressive microvascular remodelling, commonly assessed using retinal i...

Towards Social Good: How Can Social Media Inform the Next GenAI's Collaboration With Humans for Dietary Support?

The rapid advancement of Generative AI (GenAI) has transformed human-computer interaction, particula...

Non-destructive classification of type 2 diabetic teeth using LIBS-derived elemental biomarkers and machine learning.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a chronic metabolic illness that severely alters oral...

Neutrophil extracellular traps-related biomarkers in idiopathic pulmonary arterial hypertension: A machine learning-based identification and experimental validation study.

Neutrophil extracellular traps (NETs) are increasingly recognized as critical mediators in vascular ...

Cost-effectiveness of latent tuberculosis infection screening using interferon-gamma release assays among migrants to Japan: a Markov modelling study incorporating social vulnerability and access barriers.

OBJECTIVE: This study aims to evaluate the cost-effectiveness of latent tuberculosis infection (LTBI...

Understanding LUng Cancer risk factors and their Impact Assessment (LUCIA): protocol for multicentre observational cohort study.

INTRODUCTION: Lung cancer (LC) is the leading cause of cancer-related mortality worldwide, primarily...

An interpretable progressive residual network for automated multiclass diabetes diagnosis.

Diabetes mellitus remains one of the most widespread and burdensome chronic diseases worldwide, yet ...

Co-morbid biomarkers for sarcopenic obesity associated with gut microbiota metabolites: From burden to treatment.

BACKGROUND: The detrimental cycle of sarcopenic obesity (SO) significantly reduces quality of life i...

Development and validation of a machine learning-based screening tool for early detection of adolescent suicide risk.

BACKGROUND: Adolescent suicide remains a significant public health concern, yet existing suicide scr...

AI and the digital pathology revolution: clinical applications in cancer diagnosis and assessment.

INTRODUCTION: Hematoxylin & Eosin (H&E) stained slides are the gold standard for cancer diagnosis bu...

Auto Machine Learning for Diabetic Retinopathy Screening: A Head-to-Head Multiplatform Comparison Against Human Graders and IDx-DR.

PURPOSE: To benchmark multiple automated machine learning (AutoML) platforms for diabetic retinopath...