Primary Care

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

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Showing 337-357 of 16,133 articles
Ground-State Descriptor Enables Machine Learning-Assisted Virtual Screening of AIE-Active Mechanofluorochromic Molecules with High Contrast.

Aggregation-induced emission mechanofluorochromic (AIE-MFC) molecules with high-contrast are in high...

Screening and Identification of Basement Membrane-Related Gene Signatures for Diagnosis in Keratoconus Through WGCNA and Machine Learning.

Keratoconus (KC) can lead to severe vision loss, impacting daily life. The etiology of KC is not ye...

DiaBD: A diabetes dataset for enhanced risk analysis and research in Bangladesh.

Diabetes is a chronic condition affecting millions worldwide and severely impacts health and quality...

Methodological Review of Classification Trees for Risk Stratification: An Application Example in the Obesity Paradox.

BACKGROUND: Classification trees (CTs) are widely used machine learning algorithms with growing appl...

Explainable Artificial Intelligence in Radiological Cardiovascular Imaging-A Systematic Review.

Artificial intelligence (AI) and deep learning are increasingly applied in cardiovascular imaging. ...

Assessing the stress hyperglycemia ratio in hyperlipidemia patients to predict all-cause mortality: A retrospective cohort study.

BACKGROUND: The Stress Hyperglycemia Ratio (SHR) reflects stress-related hyperglycemia and is linked...

One-Drop Serum Screening Test to Monitor Tissue Iron Accumulation.

Although iron is an essential element for vital body functions, iron overload (IO) is accompanied by...

Revolutionizing diabetes care: the role of artificial intelligence in prevention, diagnosis, and patient care.

UNLABELLED: Millions of people worldwide have diabetes, a disease that is becoming more common and h...

Artificial Intelligence's Role in Improving Adverse Pregnancy Outcomes: A Scoping Review and Consideration of Ethical Issues.

: Adverse pregnancy outcomes (APOs), which include hypertensive disorders of pregnancy (gestational ...

Advancing Musculoskeletal Care Using AI and Digital Health Applications: A Review of Commercial Solutions.

Artificial intelligence (AI) and digital health (DH) solutions are reshaping musculoskeletal (MSK) c...

Machine learning-based hemodynamics quantitative assessment of pulmonary circulation using computed tomographic pulmonary angiography.

BACKGROUND: Pulmonary hypertension (pH) is a malignant pulmonary circulation disease. Right heart ca...

RhDnostics: A Machine Learning-Based Predictive Algorithm Model for RhD-Negative and DEL Blood Group Screening.

BACKGROUND: The D-elution (DEL) phenotype is serologically mislabeled as Rh-negative because of the ...

Evaluating the impact of metabolic indicators and scores on cardiovascular events using machine learning.

Cardiovascular diseases such as coronary artery disease, myocardial infarction, and heart failure im...

Screening/Diagnosing Sarcopenia with Machine Learning-Powered Risk Assessment: The SARCO X Study.

OBJECTIVES: Sarcopenia imposes significant morbidity and economic burden on health care systems, und...

Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms.

BACKGROUND: Forward head posture frequently occurs among primary school children, potentially due to...

Integrative single-cell and cell-free plasma RNA transcriptomics identifies biomarkers for early non-invasive AD screening.

INTRODUCTION: Data-driven omics approaches have rapidly advanced our understanding of the molecular ...

A qualitative analysis of college students' interest in mHealth solutions.

This study explores college students' perceptions of an AI-driven mHealth application designed to pr...

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