In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...
Both low and high temperatures are associated with mortality in the contiguous United States, according to a study published ...
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 findings position SII as a potentially valuable biomarker for risk stratification in patients with COPD and AF, with the identified threshold potentially serving as a clinical decision point for ...
A new clinical model accurately predicts acne recurrence, highlighting lifestyle and psychological risk factors that can ...
Background: Chronic obstructive pulmonary disease (COPD) and atrial fibrillation (AF) frequently coexist, and their concurrence is associated with ...
The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.
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.
Researchers have found in a new study that hyperinsulinemia is independently associated with the development of coronary ...
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