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 …

This narrative review paper aimed to discuss the literature on machine learning applications
in soccer with an emphasis on injury risk assessment. A secondary aim was to provide …

Purpose: Monitoring is a fundamental part of the training process to guarantee that the
programmed training loads are executed by athletes and result in the intended adaptations …

With the rising amount of data in the sports and health sectors, a plethora of applications
using big data mining have become possible. Multiple frameworks have been proposed to …

Abstract Pillitteri, G, Clemente, FM, Petrucci, M, Rossi, A, Bellafiore, M, Bianco, A, Palma, A,
and Battaglia, G. Toward a new conceptual approach to “intensity” in soccer player's …

Purpose The aim of this study was to assess the reliability and validity of the My Jump 2®
app in measuring jump height, flight time, and peak power among elite women beach …

Objectives This retrospective cohort study explored an algorithm-based approach using
neuromuscular test results to indicate an increased risk for non-contact lower limb injuries in …

Sports data analysis can revolutionize how coaches and athletes train, leading to enhanced
skills and improved team outcomes by providing valuable insights into performance metrics …

The potential of AI for Sports Medicine has been highlighted in the literature. However, few
results are found when the command line (“artificial intelligence”) AND (“sports medicine”) …

Purpose. Exercise-associated muscle cramps (EAMC) are characterized by intense pain
and involuntary contractions of a single muscle or muscle group. While EAMCs may occur …