A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

CAC of 0 associated with a very low proportion of coronary artery disease-related and total cardiovascular deaths.

New research confirms that an artificial intelligence (AI) model trained on millions of electrocardiograms (ECGs) serves as a ...

Joint components contributed substantially to model performance, while distinct components captured phase-specific variations.

Among adolescent girls with concussion, greater initial emotional symptom severity, reflected in higher anxiety, depression, and sleep disturbance scores, was associated with a higher likelihood of ...

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...

A new clinical model accurately predicts acne recurrence, highlighting lifestyle and psychological risk factors that can ...