Condition: Knee Osteoarthritis · Total Knee Arthroplasty · Sponsor: Yonsei University
This multicenter prospective observational study aims to evaluate whether preoperative clinical variables and wearable sensor-derived gait features can predict postoperative improvement after total knee arthroplasty (TKA). Participants will undergo standardized gait assessments using instrumented insoles and complete validated patient-reported outcome measures (PROMs). Prediction models including linear regression, random forest, and deep neural networks will be applied and their performance compared.
This description comes directly from the study's public registry record.
Na Young Kim, MD, PhD · +82 010 9127 4482 · kny8452@yuhs.ac
Seung Ick Choi · +82 010 8821 5297 · rehab1@yuhs.ac
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| Yongin Severance Hospital | Yongin-si, Gyeonggi-do, South Korea | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07367789