Development and Pre-validation of a Machine Learning-based Prediction Algorithm for Early Functional Recovery in Patients Undergoing Hip and Knee Replacement Surgery
Recruiting
Observational Study
Artificial Intelligence (AI)
Machine Learning
Joint Replacement
Predictive Model
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Age
- 18 and older
- Sex
- Any
- Study type
- Observational
- Participants needed
- 943 (estimated)
- Sponsor
- Istituto Ortopedico Rizzoli · Other
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About This Trial
The goal of this observational study is to develop and pre-validate a machine learning algorithm to predict early recovery of mobility in patients undergoing hip or knee joint replacement surgery. The primary research question is:
Can a machine learning model accurately classify patients with faster versus slower recovery of autonomous mobility in the first days after joint replacement surgery?
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Trial Locations
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Eligibility Criteria
Inclusion Criteria:
* Adults aged 18 years or older
* Patients underwent elective hip or knee arthroplasty.
* Patients for whom postoperative physiotherapy was initiated.
Exclusion Criteria:
* Patients who underwent surgery for oncologic disease, femoral fracture, or revision joint arthroplasty.
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Contacts