Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: Obesity-related alterations in the gut microbiota have been linked to cognitive decline,...
BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy complication linked to adverse...
BACKGROUND: Tobacco use disorder (TUD) remains the leading preventable cause of death globally, yet ...
AIMS: The vast majority of sudden cardiac death (SCD) cases occur in the general population with few...
BACKGROUND: Women with a history of breast cancer face an elevated risk of developing contralateral ...
BACKGROUND AND AIMS: Pulmonary arterial hypertension (PAH) is a severe disease with limited effectiv...
AIMS: The artificial intelligence (AI)-derived electrocardiographic (ECG) age gap-the difference bet...
BACKGROUND: Patients with myocardial infarction (MI) complicated by out-of-hospital cardiac arrest (...
OBJECTIVES: To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated...
PURPOSE: To develop and compare machine learning-based risk prediction models to identify patients a...
Effective feature selection is critical for building robust and interpretable predictive models, par...
The Italian National Congress of Imaging in Pulmonology, held in Milan on November 21st, provided a ...
Long-term effectiveness of digital health interventions for hypertension remains unclear, particular...
Uveitis is a severe ocular inflammatory disease with complex immune-mediated pathogenesis, posing si...
Cardiovascular disease (CVD) remains the leading cause of mortality worldwide despite major advances...
Artificial intelligence (AI), particularly deep learning (DL), is transforming the field of medical ...
AIMS: Electronic health records (EHR) can be used to target atrial fibrillation (AF) screening. We e...
BACKGROUND: Gestational diabetes mellitus (GDM) often requires pharmacological intervention beyond l...
Recent advances in structural biology, functional genomics, and artificial intelligence (AI) have ex...
OBJECTIVE: This study aimed to develop and validate a machine learning (ML) model to predict the nee...
Fundus parameters can be used to quantify masculinity or femininity as a fundus sex index (FSI) rang...