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

Democrats and Republicans may not see eye to eye on many things. However, data shows they’re quite aligned on one issue: ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

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

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 ...

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

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

Hybrid stacked AI/ML models achieve over 90% accuracy in detecting insurance fraud, significantly reducing losses and improving operational clarity for insurers. Trending Photos In one of the major ...

The presence of long COVID symptoms after infection with SARS-CoV-2 is strongly associated with the development of cardiovascular disease (CVD) in United States adults, according to study results ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...