Primary Care

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

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Securing Federated Learning With Blockchain in the Medical Field: Systematic Literature Review.

BACKGROUND: The exponential growth of medical data and advancements in artificial intelligence (AI) ...

Feb 2026 41712960
Integrating machine learning and SHAP analysis to identify the risk of cognitive frailty in older adults with chronic heart failure.

BACKGROUND: Accurately identifying older adults with chronic heart failure (CHF) at high risk of cog...

Feb 2026 41886834
Novel Systemic Associations of Idiopathic Epiretinal Membrane Identified via Machine Learning.

PURPOSE: To discover novel systemic associations that may lead to idiopathic epiretinal membrane (iE...

(3)
Feb 2026 41908500
Hepatic and abdominal adiposity in type 2 diabetes as assessed with machine learning on computed tomography scans.

AIMS: The combined assessment of multiple abdominal imaging traits in relation to type 2 diabetes re...

Feb 2026 41705581
A machine learning approach to predicting severe diabetes distress in adults with type 1 diabetes mellitus.

BACKGROUND: Diabetes distress is common in patients with type 1 diabetes mellitus (T1DM). The aim of...

Feb 2026 41705740
Vulnerability and short clinical outcomes in patients on the deceased-donor kidney transplant waiting list.

BACKGROUND: With prolonged waiting times for deceased-donor kidney transplantation (DDKT) in Japan, ...

Feb 2026 41706301
Endocrine hypertension in 2025: how AI and multiomics are revolutionizing detection.

INTRODUCTION: Endocrine hypertension (EH) represents a small yet clinically significant subset of se...

Feb 2026 41706437
Artificial Intelligence for radiation dose reduction in computed tomography: a narrative synthesis of clinical evidence from 2020 to 2025.

Computed tomography (CT) is essential to modern clinical practice but contributes substantially to p...

(1)
Feb 2026 41707249
Hypoglycemia problem-solving ability as a key predictor of severe hypoglycemia: a machine learning approach in adults with type 1 diabetes.

AIMS/INTRODUCTION: Severe hypoglycemia (SH) is a major complication in adults with type 1 diabetes m...

Feb 2026 41716815
Integrating qHTS and QSAR Models to Identify Safe GPCR-Targeted Compounds: A Focus on hERG-Dependent Cardiotoxicity.

G-protein-coupled receptors (GPCRs) are a diverse family of seven-transmembrane domain receptors tha...

(3)
Feb 2026 41700814
Primary Care Physician Perspectives on Artificial Intelligence for Dementia Screening: A Qualitative Study.

BACKGROUND: Automated approaches to cognitive impairment screening may soon achieve sufficient level...

(1)
Feb 2026 41700962
Enhancing health monitoring in smart offices: a multi-layered digital twin approach.

Sedentary nature of office work contributes to a range of physical health issues, including obesity,...

Feb 2026 41701922
A machine learning model for optimizing treatment of patients with poorly controlled type 2 diabetes.

BACKGROUND: Cardiorenal-protective sodium-glucose cotransporter-2 inhibitors (SGLT-2i) and glucagon-...

Feb 2026 41703087
Study protocol for evaluating automation of systematic review processes with EPPI-Reviewer and Copilot 365 in updating the cataract evidence gap map.

BACKGROUND: The process of developing and updating an evidence gap map (EGM) is based on the princip...

Feb 2026 41699638
Investigating feature-engineered predictors for systolic blood pressure changes in an mHealth-based disease management program.

Mobile health (mHealth)-based disease management programs enable continuous monitoring of blood pres...

Feb 2026 41699289
Application of machine learning approaches to develop predictive models for diabetes and hypertension among Bangladeshi Adults.

With rapid urbanization, lifestyle changes, and an aging population, non-communicable diseases (NCDs...

Feb 2026 41701710
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