Primary Care

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

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Application of machine learning algorithms to identify risk factors for depression in type 2 diabetes mellitus patients: A Taiwan diabetes registry study.

BACKGROUND: We analyzed variables reported during routine clinical practice using a registrational d...

May 2025 40442041
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...

May 2025 40442740
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...

May 2025 40451400
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...

May 2025 40458230
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 ...

May 2025 40507618
DrugPipe: Generative artificial intelligence-assisted virtual screening pipeline for generalizable and efficient drug repurposing.

Drug repurposing presents a promising strategy to accelerate drug discovery by identifying new thera...

May 2025 40486179
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...

May 2025 40520271
In Silico Screening of Small Molecule Inhibitors for Amyloid-β Aggregation.

The self-aggregation of amyloid-β (Aβ) into fibrils is a hallmark of Alzheimer's disease (AD). Inhib...

May 2025 40442621
The use of imaging in the diagnosis and treatment of thromboembolic pulmonary hypertension.

Chronic thromboembolic pulmonary hypertension (CTEPH) is a potentially life-threatening condition, c...

May 2025 40439542
Recent Advances in Applications of Machine Learning in Cervical Cancer Research: A Focus on Prediction Models.

Artificial intelligence (AI) and machine learning (ML) are transforming cervical cancer research and...

May 2025 40441737
Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation.

Growing rates of chronic wound occurrence, especially in patients with diabetes, has become a recent...

May 2025 40442267
Gut microbiota, metabolites, and pulmonary hypertension: Mutual regulation and potential therapies.

Pulmonary hypertension is a progressive condition characterized by increased pulmonary vascular pres...

May 2025 40480048
Empowering Pharmacists in Type 2 Diabetes Care: Opportunities for Prevention, Counseling, and Therapeutic Optimization.

Diabetes is a growing chronic disease with complications that impose a significant burden on healthc...

May 2025 40507585
The Next Frontiers in Preventive and Personalized Healthcare: Artificial Intelligent-Powered Solutions.

Artificial intelligence (AI)-enabled technologies have the potential to significantly increase diagn...

May 2025 40534362
Development and Validation of Machine Learning-Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease.

Nonalcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease and is consid...

May 2025 40432473
Blood pressure monitoring is key in aortic dissection.

Blood pressure (BP) control is essential for both the prevention and long-term management of aortic ...

May 2025 40433737
Machine Learning and Artificial Intelligence in Suicide Prevention: A Bibliometric Analysis of Emerging Trends and Implications for Nursing.

Nurses play a crucial role in suicide prevention, yet the integration of artificial intelligence and...

May 2025 40435463
An efficient bearing fault detection strategy based on a hybrid machine learning technique.

This study introduces an innovative method for addressing the bearing fault detection problem in rot...

May 2025 40437009
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