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May 8, 2026Journal of Sports Sciences

D1.P4 Machine Learning classification of Kellgren–Lawrence knee osteoarthritis using only radiographic images: New prospectives and challenges for sports therapists

Mobina Manafi Francesco Ferraro

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Key Points

This research aims to explore the effectiveness of machine learning in classifying knee osteoarthritis using radiographic images.
Employed machine learning algorithms for classification
Utilized radiographic images based on the Kellgren-Lawrence scale
Targeted athletes experiencing knee osteoarthritis
Machine learning demonstrated an accuracy of over 85% in classifying knee osteoarthritis stages
Significant improvement in diagnostic capabilities compared to traditional methods
Potential for quicker assessments in sports therapy settings

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Implication

Demonstrates machine learning identifies knee osteoarthritis in athletes, highlighting new diagnostic strategies for therapists.

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Cite This Study

Manafi et al. (2026) studied this question.

synapsesocial.com/papers/6a338a08630953a74978c5de https://doi.org/10.1080/02640414.2026.2670098

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