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

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 ...

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

Researchers have found in a new study that hyperinsulinemia is independently associated with the development of coronary ...

Study links longer duration of mechanical ventilation, a common factor in RAS, as the independent predictor of PPCs, not the surgical technique.

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

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 ...

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

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