Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

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Harnessing the hybrid machine learning methods for stroke risk classification.

Stroke is a leading global cause of death, with 80% of cases considered preventable through early de...

Synergistic AI-resident approach achieves superior diagnostic accuracy in tertiary ophthalmic care for glaucoma and retinal disease.

INTRODUCTION: Artificial intelligence (AI) shows promise in ophthalmology, but its potential in tert...

A data-driven scoring framework for personalized employee health check-ups: Integrating historical laboratory trends and evidence-based prevalence.

INTRODUCTION: Rising healthcare costs and growing demand for personalized preventive care have highl...

The Forcing Factors of Physical Inactivity and Obesity in the United States - An Artificial Intelligence Analysis of an Ecological Framework.

BACKGROUND: A sedentary lifestyle, and obesity, are primary factors forcing the ongoing chronic dise...

Machine Learning for Predicting the Transition From Gestational Diabetes to Type 2 Diabetes: A Systematic Review.

Gestational diabetes mellitus (GDM) significantly increases the risk of developing type 2 diabetes (...

T2D-LVDD: neural network-based predictive models for left ventricular diastolic dysfunction in type 2 diabetes.

Cardiovascular disease complications are the leading cause of morbidity and mortality in patients wi...

Brain metabolic imaging-based model identifies cognitive stability in prodromal Alzheimer's disease.

The recent approval of anti-amyloid pharmaceuticals for the treatment of Alzheimer's disease (AD) ha...

Advanced droplet microfluidic platform for high-throughput screening of industrial fungi.

Industrial fungi are pivotal candidates for the production of a diverse array of bioproducts. To enh...

A plasma 9-microRNA signature for lung cancer early detection: a multicenter analysis.

Lung cancer remains the leading cause of cancer-related deaths worldwide. Low-dose computed tomograp...

Retinal image-based deep learning for mild cognitive impairment detection in coronary artery disease population.

BACKGROUND: Coronary artery disease (CAD) is linked to an increased risk of mild cognitive impairmen...

AI in Mental Health: A Review of Technological Advancements and Ethical Issues in Psychiatry.

Artificial intelligence (AI) is transforming digital health, its influence is expanding across multi...

Developing cardiac digital twin populations powered by machine learning provides electrophysiological insights in conduction and repolarization.

Large-cohort imaging and diagnostic studies often assess cardiac function but overlook underlying bi...

Tools and methods for cataract recognition in low-resource settings: A narrative review.

Cataracts are a leading cause of global blindness, with many low-resource populations having poor ac...

Balancing Act: Generative AI Tools and Scope of Practice in Health Coaching.

This article explores the effects of generative artificial intelligence (genAI) in health coaching,...

Prediction of Poor Visual Outcomes at Idiopathic Intracranial Hypertension Diagnosis Using a Supervised Machine Learning Algorithm.

BACKGROUND: Idiopathic intracranial hypertension (IIH) is a vision-threatening disorder mainly affec...

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