Primary Care

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

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Showing 1639-1659 of 13,879 articles
Beyond Weight: Systems Biology and Precision Medicine Redefine Obesity as a Multidimensional Disease.

BACKGROUND: Traditional weight-centered models do not fully capture the biological complexity of obe...

Apr 2026 41944002
Advances in intelligent multi-mode lateral flow assays: from multi-metallic nanomaterials to smart analytical integration.

Lateral flow assays (LFAs) have evolved from simple qualitative tools into intelligent, multi-modal ...

Apr 2026 41944616
Optimizing the management of periprosthetic infections with artificial intelligence: current evidence and future directions.

Periprosthetic joint infections (PJIs) are a serious complication in both primary arthroplasty and r...

Apr 2026 41945564
Feasibility and Acceptability of AI-Powered Tools for Early Autism Screening in Egypt: Semistructured Focus Group Study.

BACKGROUND: Autism spectrum disorder (ASD) is often underdiagnosed in low- and middle-income countri...

Apr 2026 41945920
Lightweight liquid neural networks decipher salivary metabolic fingerprinting for high-risk periodontitis screening in diabetes.

Type 2 diabetes (T2DM) and periodontitis are bidirectionally linked diseases that both involve chron...

Apr 2026 41942764
Enhancing prediabetes and diabetes detection through a machine learning-enabled self-assessment approach.

OBJECTIVES: Reliable, accessible, noninvasive self-assessment screening for prediabetes/diabetes is ...

Apr 2026 41950976
Community-based early-stage chronic kidney disease screening using explainable machine learning for low-resource settings.

BACKGROUND: Early detection of chronic kidney disease (CKD) is essential for preventing progression ...

Apr 2026 41946122
Transcranial Doppler ultrasonography in geriatric anesthesia: moving toward personalized brain protection strategies.

The increasing volume of geriatric surgical procedures presents a critical challenge: protecting the...

(1)
Apr 2026 41937410
Quantitative Coronary Atherosclerotic Plaque Burden From CCTA and the Benefit From Lipid-Lowering Medication.

BACKGROUND: We hypothesized that quantification of coronary atherosclerotic plaque burden by artific...

Apr 2026 41937634
Retinal image-based cardiovascular risk prediction using AI-CRS: a multi-modal deep learning framework.

This study presents AI-CRS, an AI-driven deep learning framework for cardiovascular risk assessment ...

Apr 2026 41941015
Mpox Awareness and Knowledge Among Residents of the Northern Border Region, Saudi Arabia: Implications for Community Preparedness.

In August 2024, the World Health Organization declared the ongoing mpox upsurge in Africa a Public H...

Apr 2026 41942689
Development and validation of a nomogram for predicting advanced chronic kidney disease.

The objective of this study was to develop and validate a nomogram for predicting advanced chronic k...

Apr 2026 42100739
Label-free screening and grading of follicular thyroid neoplasms enabled by Fourier transform infrared microspectroscopy and machine learning.

Follicular thyroid neoplasms represent a common subtype of thyroid tumor that has become the most pr...

Apr 2026 41950626
Artificial intelligence for nursing data visibility in health technology assessment: policy architecture and implementation considerations.

Background: Health technology assessment (HTA) increasingly informs reimbursement, adoption, scale-u...

Apr 2026 41931043
Prediction model for frailty risk in ischemic stroke patients: Application and validation of support vector machines and nomograms.

This study aimed to develop a prediction model based on nomograms and support vector machines (SVM) ...

Apr 2026 41931357
Synthetic data-augmented machine learning for 30-day readmission prediction in patients with chronic conditions: a retrospective real-world study.

OBJECTIVES: To develop and evaluate an explainable machine learning framework enhanced with syntheti...

(2)
Apr 2026 41932702
EfficientNet-driven deep learning for accurate detection of faults in photovoltaic cells.

The global transition to renewable energy resources has driven the need for potent international pra...

Apr 2026 41931557
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