Actively Recruiting
Prediction of Postoperative Outcomes After TKA Using Instrumented Insoles and DNN
Led by Yonsei University · Updated on 2026-01-26
200
Participants Needed
1
Research Sites
291 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Prediction of Postoperative Outcomes After TKA Using Instrumented Insoles and DNN
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age 219 years
- Diagnosed with knee osteoarthritis (Kellgren-Lawrence grade 1-4)
- Scheduled for primary Total Knee Arthroplasty (TKA) at either study site
- Able to walk independently on level ground (Functional Ambulation Categories, FAC 23 3)
You will not qualify if you...
- Cancellation of scheduled TKA
- History of TKA on the same knee
- Neurological or musculoskeletal disorders affecting gait
- Pregnancy or possibility of pregnancy
- Any condition deemed inappropriate for study participation by the investigator
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Yongin Severance Hospital
Yongin-si, Gyeonggi-do, South Korea, 16995
Actively Recruiting
Research Team
N
Na Young Kim, MD, PhD
CONTACT
S
Seung Ick Choi
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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