Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

EA Sports’ College Football 25 marks the return of a beloved sports sim franchise, and according to Electronic Arts CEO Andrew Wilson, the game couldn’t have been made without developers utilizing ...

In an era where data is king, the sports prediction industry has experienced a profound transformation fueled by data-driven personalisation. No longer are predictions based solely on gut instincts ...

Getting an edge in the NFL, whether you're on the field or not, is what every player, coach and even fan tries to do. With the Super Bowl having come and gone, the 2023 NFL season comes to a close, ...

Recent advances in artificial intelligence (AI) and machine learning (ML) are reshaping the domain of physical education and sports analysis by providing unprecedented insights into athlete ...

Ah, sportsball. Can you ever forget the first time you grab that pass, fly down the court, and sink that puck right through the net as your fans yell adoringly from the bleachers, TOUCHDOWN! No? Not ...

Objective To (1) develop and evaluate a machine learning model incorporating gait and physical activity to predict medial tibiofemoral cartilage worsening over 2 years in individuals without advanced ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...