Primary Care

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

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Showing 1933-1953 of 13,879 articles
Integrated machine learning risk model for predicting radiation pneumonitis in lung cancer patients with interstitial lung disease.

BACKGROUND: Radiation pneumonitis (RP) is a serious complication in lung cancer patients with pre-ex...

(1)
Feb 2026 41755502
Machine learning models to detect opioid misuse in emergency department patients at triage.

OBJECTIVE: Emergency department (ED) encounters represent valuable opportunities to initiate evidenc...

(1)
Feb 2026 41785519
Effectiveness of natural language intelligence technology in chronic diseases nursing: A systematic review and meta-analysis.

BACKGROUND: Chronic diseases pose a heavy global burden, with challenges in utilizing unstructured d...

(4)
Feb 2026 41825214
Deep Learning Model to Detect Diabetic Retinopathy in 45° Images Using Ground Truth from Ultra-Widefield Imaging.

PURPOSE: To evaluate the performance of a deep learning (DL) model in classifying diabetic retinopat...

Feb 2026 42088785
Predicting Nocturnal Hypertension in CKD Through Table-Value Diffusion Model.

BACKGROUND: Ambulatory blood pressure monitoring is indispensable for diagnosing nocturnal hypertens...

Feb 2026 41744090
Predicting the Course of High-Impact Chronic Pain Using Machine Learning Algorithms.

High-impact chronic pain (HICP) affects over 17 million U.S. adults and follows highly variable cour...

(2)
Feb 2026 41763344
Advancement in peptide-based therapeutics for the treatment of type 2 diabetes mellitus: current progress and future prospects.

Diabetes is a chronic medical disorder caused by insufficient production of the hormone insulin by t...

Feb 2026 41746526
Generative AI Uncovers Novel Chrebp/Txnip Axis Inhibitors with Potential Anti-inflammatory Activity.

Type 2 diabetes is driven in part by metabolic inflammation, where activation of the Chrebp/Txnip ax...

Feb 2026 41746845
Smartphone App Using Reinforcement Learning for Obesity: Single-Arm Feasibility Study.

BACKGROUND: While behavioral interventions remain an evidence-based treatment for obesity, they ofte...

Feb 2026 41747193
Exploring stress and coping among black women in early midlife with elevated blood pressure in a safety-net health system: a qualitative focus group protocol.

INTRODUCTION: Black women in early midlife experience disproportionate exposure to stress and elevat...

(1)
Feb 2026 41748187
Present state and future of screening for atrial fibrillation: a state-of-the-art review.

Atrial fibrillation (AF) is the most common arrhythmia and is a leading cause of stroke and heart fa...

Feb 2026 41748199
Explainable AI for mortality prediction: a comparative study using the MIMIC-III dataset.

OBJECTIVES: Predicting mortality is vital for tailoring treatments, improving care and reducing cost...

Feb 2026 41748202
A device-invariant multi-modal learning framework for respiratory disease classification.

Recent advances in cough sound analysis using deep learning techniques enable smartphone-based respi...

(2)
Feb 2026 41748911
Explainable deep learning framework incorporating medical knowledge for insulin titration in diabetes.

BACKGROUND: Deep learning has shown promise in diabetes management but faces challenges in real-worl...

Feb 2026 41748914
Interpretable machine learning for chronic kidney disease prediction: Insights from SHAP and LIME analyses.

Chronic kidney disease (CKD) is a progressive condition requiring early detection for optimal patien...

Feb 2026 41747002
Random forest-based QSAR and molecular dynamics insights into steroidal pregnanes as 11β-hydroxysteroid dehydrogenase type 1 modulators for type 2 diabetes.

The enzyme 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) is a validated therapeutic target for ...

Feb 2026 41775123
Cardiovascular Science, Medicine, and Society: The Brave New World: The ACC Braunwald Lecture 2025.

Recent scientific and technological advances have dramatically expanded the possibilities in cardiov...

Feb 2026 41739019
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