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Machine learning-driven gait classification in individuals with anterior cruciate ligament reconstruction

Year: 2025

Type: conference-paper

Abstract: Objectives: Anterior cruciate ligament (ACL) ruptures often lead to gait abnormalities, and while ACL reconstruction (ACLR) is a common treatment, it may not fully restore normal biomechanics. Machine learning (ML) provides a robust method for analyzing multidimensional gait data, extracting features [for full text, please go to the a.m. URL]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25dkou004

Authors: Skrobot, Matej, Oehme, Stephan, Jung, Tobias, Reichenbach, Jürgen, Duda, Georg, Krämer, Martin, Brisson, Nicholas

Institutions: Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charité - Universitätsmedizin Berlin, Jena University Hospital, Friedrich Schiller University Jena

Language: English

Topic: Knee injuries and reconstruction techniques

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7103162529

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