Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods

Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods

This review provides a comprehensive analysis of the transformative role of artificial intelligence (AI) in predicting and preventing sports injuries across various disciplines. By exploring the application of machine learning (ML) and deep learning (DL) techniques, such as random forests (RFs), con...

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Bibliographic Details
Main Authors: Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, Dana Tutunaru, Andreea Elena Voipan, Daniel Voipan, Elena Mereuta, Tudor Vladimir Gurau, Gabriela Gurău, Luiza Camelia Nechita
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Diagnostics
Subjects:
injury risk prediction
artificial intelligence
sports medicine
individual sports
team sports
musculoskeletal injuries
Online Access:https://www.mdpi.com/2075-4418/14/22/2516
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