Primary Care

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

16,171 articles
Stay Ahead - Weekly Primary Care research updates
Subscribe
Browse Categories
Showing 1030-1050 of 16,171 articles
Isolation and screening of wood-decaying fungi for lignocellulolytic enzyme production and bioremediation processes.

The growing demand for novel enzyme producers to meet industrial and environmental needs has driven ...

Detection of Vitiligo Through Machine Learning and Computer-Aided Techniques: A Systematic Review.

Vitiligo is a chronic skin damage disease, triggered by differential melanocyte death. Vitiligo (0....

A prior-knowledge-guided dynamic attention mechanism to predict nocturnal hypoglycemic events in type 1 diabetes.

Nocturnal hypoglycemia is a critical problem faced by diabetic patients. Failure to intervene in tim...

Cost-effectiveness analysis of AI-based image quality control for perinatal ultrasound screening.

PURPOSE: This study aimed to compare the cost-effectiveness of AI-based approaches with manual appro...

Novel neural network classification of maternal fetal ultrasound planes through optimized feature selection.

Ultrasound (US) imaging is an essential diagnostic technique in prenatal care, enabling enhanced sur...

An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniques.

BACKGROUND: Diabetes mellitus (DM) is a chronic disease prevalent worldwide, requiring a multifacete...

Investigating the anti-obesity potential of leaf bioactive compounds through machine learning and computational biology methods.

Obesity, a growing global health concern, is linked to severe ailments such as cardiovascular diseas...

SMART: Development and Application of a Multimodal Multi-organ Trauma Screening Model for Abdominal Injuries in Emergency Settings.

RATIONALE AND OBJECTIVES: Effective trauma care in emergency departments necessitates rapid diagnosi...

Training machine learning models to detect rare inborn errors of metabolism (IEMs) based on GC-MS urinary metabolomics for diseases screening.

BACKGROUND: Gas chromatography-mass spectrometry (GC-MS) has been shown to be a potentially efficien...

L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction.

Pre-training strategies based on self-supervised learning (SSL) have demonstrated success as pretext...

Potential shared mechanisms in atopic dermatitis and type 2 diabetes identified via transcriptomic and machine learning approaches.

Although atopic dermatitis (AD) and type 2 diabetes mellitus (T2DM) may appear clinically and pathop...

Artificial intelligence and glaucoma: a lucid and comprehensive review.

Glaucoma is a pathologically irreversible eye illness in the realm of ophthalmic diseases. Because i...

Are we ready to integrate advanced artificial intelligence models in clinical laboratory?

The application of advanced artificial intelligence (AI) models and algorithms in clinical laborator...

Comparative study of alpha-glucosidase inhibition of four Vietnamese medicinal plants , , , and : and studies.

Four medicinal plants , , , and growing in the South of Vietnam were investigated for their alpha-g...

Development of a urine-based metabolomics approach for multi-cancer screening and tumor origin prediction.

BACKGROUND: Cancer remains a leading cause of mortality worldwide. A non-invasive screening solution...

Random survival forest model for early prediction of Alzheimer's disease conversion in early and late Mild cognitive impairment stages.

With a clinical trial failure rate of 99.6% for Alzheimer's Disease (AD), early diagnosis is critica...

Exploring diabetes through the lens of AI and computer vision: Methods and future prospects.

Early diagnosis and timely initiation of treatment plans for diabetes are crucial for ensuring indiv...

Browse Categories