Machine learning in sports science: challenges and opportunities

C Richter, M O'Reilly, E Delahunt - Sports Biomechanics, 2021 - Taylor & Francis
Sport scientists could benefit from knowing about the processes underpinning machine
learning (ML) and its practical applications, as it has substantial implications for our field. ML …

Assessing human motion during exercise using machine learning: A literature review

F Frangoudes, M Matsangidou, EC Schiza… - IEEE …, 2022 - ieeexplore.ieee.org
The World Health Organization promotes healthy living through regular physical activities,
such as exercise and sports, as well as access to healthcare and rehabilitation services for …

Can biomechanical testing after anterior cruciate ligament reconstruction identify athletes at risk for subsequent ACL injury to the contralateral uninjured limb?

E King, C Richter, KAJ Daniels… - … American journal of …, 2021 - journals.sagepub.com
Background: Athletes are twice as likely to rupture the anterior cruciate ligament (ACL) on
their healthy contralateral knee than the reconstructed graft after ACL reconstruction (ACLR) …

Using an affordable motion capture system to evaluate the prognostic value of drop vertical jump parameters for noncontact ACL injury

J Corban, N Karatzas, KY Zhao… - … American Journal of …, 2023 - journals.sagepub.com
Background: Knee kinematic parameters during a drop vertical jump (DVJ) have been
demonstrated to be associated with increased risk of noncontact anterior cruciate ligament …

Motion sensors-based machine learning approach for the identification of anterior cruciate ligament gait patterns in on-the-field activities in rugby players

S Tedesco, C Crowe, A Ryan, M Sica, S Scheurer… - Sensors, 2020 - mdpi.com
Anterior cruciate ligament (ACL) injuries are common among athletes. Despite a successful
return to sport (RTS) for most of the injured athletes, a significant proportion do not return to …

A review on artificial intelligence in orthopaedics

T Hamid, M Chhabra, K Ravulakollu… - … on Computing for …, 2022 - ieeexplore.ieee.org
Artificial intelligence (AI) is a booming technology in today's world that is poised to usher in a
new era in the globe by developing intelligent machines capable of solving complicated …

Artificial intelligence in the management of anterior cruciate ligament injuries

J Corban, JP Lorange, C Laverdiere… - … Journal of Sports …, 2021 - journals.sagepub.com
Background: Technological innovation is a key component of orthopaedic surgery. With the
integration of powerful technologies in surgery and clinical practice, artificial intelligence (AI) …

Recovery, rehabilitation, and return to full duty in a military population after a recent injury: differences between lower-extremity and spine injuries

DI Rhon, DS Teyhen, K Kiesel, SW Shaffer… - … , sports medicine, and …, 2022 - Elsevier
Purpose To compare readiness to return to duty in soldiers following recent lower-extremity
versus spine injury. The secondary purposes were to provide normative data for the …

Quantitative analysis of the dominant external factors influencing elite speed Skaters' performance using BP neural network

Z Yang, P Ke, Y Zhang, F Du, P Hong - Frontiers in Sports and Active …, 2024 - frontiersin.org
Introduction Speed skating, being a popular winter sport, imposes significant demands on
elite skaters, necessitating their effective assessment and adaptation to diverse …

APE-V: Athlete Performance Evaluation using Video

C Roygaga, D Patil, M Boyle… - Proceedings of the …, 2022 - openaccess.thecvf.com
Athletes typically undergo regular evaluations by trainers and coaches to assess
performance and injury risk. One of the most popular movements to examine in athletes …