Primary Care

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

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Factors Impacting the Performance of Deep Learning Detection of Pulmonary Emboli.

OBJECTIVE: AI models are increasingly adopted in clinical practice, yet their generalizability outsi...

Dec 2025 41456841
Enhancing Competencies of Nursing Students in Pain Management Education Through Artificial Intelligence (AI): A Narrative Review.

BACKGROUND: Effective pain management is a vital aspect of quality nursing care, requiring sound kno...

Dec 2025 41455657
Automotive Health 2.0: Steering Toward Proactive Preventive Care.

Cardiovascular and chronic disease prevention remains limited by episodic, clinic-based assessments ...

Dec 2025 41624788
Revolutionizing salivary biomarkers through machine learning and artificial intelligence.

Chronic diseases remain major global health burdens, and early detection is essential for preventing...

Dec 2025 41455597
Protector role of muscle quality against diabetes in non-elderly U.S. adults.

BACKGROUND: Since 1980, the number of people with diabetes has doubled globally, a figure expected t...

Dec 2025 41451398
A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention.

This systematic review examines the applications of artificial intelligence (AI) in preventing obesi...

Dec 2025 41436079
Estimating the effect of reducing average annual ambient PM2.5 concentrations on allostatic load in children.

OBJECTIVE: Chronic exposure to environmental stressors may result in dysregulation across the body's...

Dec 2025 41448418
Visceral Adipose Tissue Alters Podometrics and Renal Compensation After Uninephrectomy.

INTRODUCTION: Obesity is an established risk factor for chronic kidney disease (CKD). However, exces...

Dec 2025 41727777
Machine learning-based prediction of large-for-gestational-age neonates in diabetic and non-diabetic pregnancies.

OBJECTIVE: This study determines whether a machine-learning model integrating sonographic biometry w...

Dec 2025 41424415
An Unsupervised Learning Approach for Multimodal Low Back Pain Stratification.

STUDY DESIGN: Cross-sectional study. OBJECTIVE: This study proposes a novel stratification framework...

Dec 2025 41384355
Breaking resistance with machine and deep learning: A computational intelligence hunt for AmvR (TetR) inhibitors in Acinetobacterbaumannii.

Multidrug-resistant Acinetobacter baumannii infections have driven the development of innovative the...

Dec 2025 41442824
The micro- and nanoplastics exposome feedback loop drives synergistic air-lung toxicity.

Airborne micro- and nanoplastics (MNPs) are now recognized as persistent components of the atmospher...

Dec 2025 41435576
Strategizing AI utilization for psychological literature screening: A comparative analysis of machine learning algorithms and key factors to consider.

With the rapid growth of scholarly literature, efficient artificial intelligence (AI)-aided abstract...

Dec 2025 41992903
Screening for depressive symptoms in primary and secondary school students based on speech features: A one-year longitudinal study from Jiangsu, China.

OBJECTIVE: This study aims to develop and validate an interpretable prediction model for recognizing...

Dec 2025 41422969
Advances in occult cancer screening for patients with unprovoked venous thromboembolism: A narrative review of epidemiology, risk, and clinical strategies.

BACKGROUND: Venous thromboembolism (VTE) and cancer exhibit a bidirectional correlation. The probabi...

Dec 2025 41422932
Differential factor effects in comorbid depressive and anxiety symptoms (CDAS): A machine learning approach to individualized mental health promotion.

BACKGROUND: Depression and anxiety comorbid presents greater severity than isolated symptoms. Tradit...

Dec 2025 41421612
The scope of cardiology research: More than 300 topics covered through bibliometric evaluation.

This study provides a bibliometric overview of cardiovascular-related bibliometric research identifi...

Dec 2025 41421432
Challenges in the diagnosis and management of hypertrophic cardiomyopathy and the promise of artificial intelligence.

Hypertrophic cardiomyopathy (HCM), the most prevalent inherited cardiomyopathy, is characterized by ...

Dec 2025 41421434
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