Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

A unique AI model developed by Stanford University researchers and their colleagues could one day be used to predict your ...

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

A Marshall University – University of Missouri team has reported a web-based deep-learning platform that combines six common ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

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 ...

Abstract: Heart disease remains one of the leading causes of death worldwide. Effective management and prevention heavily depend on early detection and accurate prediction. However, traditional ...

It will be an all-SEC affair in Norman as the 2025 edition of the College Football Playoff gets underway with the debut first-round game in a rematch of a consequential regular season matchup.

ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...

Objectives Current prediction models for disease progression to AIDS in people living with HIV primarily rely on traditional statistical methods. This study aimed to develop and compare four machine ...