Purpose Injuries are common in sports and can have significant physical, psychological and
financial consequences. Machine learning (ML) methods could be used to improve injury …

To determine the applications of machine learning (ML) techniques used for the primary
prevention of work-related musculoskeletal disorders (WMSDs), a sco** review was …

The rapid progress in artificial intelligence (AI) and machine learning has opened
unprecedented analytics possibilities in various team and individual sports, including …

Basketball is among the most popular sports in the world, and its related industries have
also produced huge economic benefits. In recent years, the application of artificial …

Purpose The aim of this study was to systematically review evidence on the prevalence and
magnitude of side effects associated with caffeine supplementation in athletes. Methods …

The rapid and impromptu interest in the coupling of machine learning (ML) algorithms with
wearable and contactless sensors aimed at tackling real‐world problems warrants a …

Wearable technologies are small electronic and mobile devices with wireless
communication capabilities that can be worn on the body as a part of devices, accessories …

Current trends in sports monitoring are characterized by the massive collection of tech-
based biomechanical, physiological and performance data, integrated through mathematical …

To understand the dynamic patterns of behaviours and interactions between athletes that
characterize successful performance in different sports is an important challenge for all sport …

Background An increasing number of musculoskeletal injury prediction models are being
developed and implemented in sports medicine. Prediction model quality needs to be …