The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

In today’s hyper-connected world, businesses are becoming increasingly vulnerable to cyber threats. With the rising sophistication of cyberattacks, traditional security ...

Ecuador: A newly developed AI model shows promise in improving the safety of liposuction by accurately predicting patient ...

Today, some of the biggest stars in professional wrestling have opened their own training school, with talent such as Cody Rhodes, Seth Rollins, and Natalya all coaching the next generation of young ...

Forty-eight percent of workers struggle to find files, 45 percent of SMBs still use paper, and e-signatures can boost close ...