Primary Care

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

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Delirium in Critically Ill Geriatric Surgical Patients: A Systematic Review of Screening, Risk Factors, Diagnosis, and Management.

OBJECTIVE: This systematic review aims to evaluate optimal early screening strategies, significant r...

May 2025 40424371
Integrating Artificial Intelligence and Precision Therapeutics for Advancing the Diagnosis and Treatment of Age-Related Macular Degeneration.

Age-related macular degeneration (AMD) is a multifactorial retinal disease influenced by complex mol...

May 2025 40428167
Risk prediction of stroke-associated pneumonia in acute ischemic stroke with atrial fibrillation using machine learning models.

Stroke-associated pneumonia (SAP) is a serious complication of acute ischemic stroke (AIS), signific...

May 2025 40463824
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...

May 2025 40384291
Gender-specific sarcopenia screening in hemodialysis: insights from lower limb strength and physiological indicators.

OBJECTIVE: Maintenance hemodialysis (MHD) patients often suffer from sarcopenia, affecting lower lim...

May 2025 40389905
Contemporary Prevention and Management of Postoperative Delirium in Cardiac Surgery Patients.

This review examines the prevention and management of postoperative delirium in cardiac surgery pati...

May 2025 40398532
Study on Liver Sinusoidal Endothelial Cell Fenestrations Based on Cellular Omics-Structure Integration Technology and Its Application in Metabolic Diseases.

This study developed a new Cellular Omics-Structural Integration (COSI) technology platform to addre...

May 2025 40475559
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...

May 2025 40458618
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...

May 2025 40403478
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...

May 2025 40393611
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 (...

May 2025 40535415
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...

May 2025 40382645
Evaluating prediction of short-term tolerability of five type 2 diabetes drug classes using routine clinical features: UK population-based study.

AIMS: A precision medicine approach in type 2 diabetes (T2D) needs to consider potential treatment r...

May 2025 40375735
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...

May 2025 40378075
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...

May 2025 40380218
Bioinformatic Analysis of Complex In Vitro Fertilization Data and Predictive Model Design Based on Machine Learning: The Age Paradox in Reproductive Health.

Since its inception in 1987, in vitro fertilization (IVF) has constituted a significant medical achi...

May 2025 40427745
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...

May 2025 40379795
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...

May 2025 40378109
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