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Recruiting NCT07333560

NCT07333560 Development and Pre-validation of a Machine Learning-based Prediction Algorithm for Early Functional Recovery in Patients Undergoing Hip and Knee Replacement Surgery

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Clinical Trial Summary
NCT ID NCT07333560
Status Recruiting
Phase
Sponsor Istituto Ortopedico Rizzoli
Condition Artificial Intelligence (AI)
Study Type OBSERVATIONAL
Enrollment 943 participants
Start Date 2026-03-09
Primary Completion 2027-12

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age N/A
Study Type OBSERVATIONAL
Interventions
Predictive Model for Early Mobility Recovery and Length of Stay

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 943 participants in total. It began in 2026-03-09 with a primary completion date of 2027-12.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

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? Patients who have undergone elective hip or knee arthroplasty and received post-operative physiotherapy will have their clinical and perioperative data collected retrospectively (2020-2023) and prospectively (March 2026-December 2027). The algorithm will be trained on retrospective data and tested prospectively to evaluate its predictive performance for early mobilization and length of hospital stay.

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. * Patients for whom postoperative physiotherapy was not provided due to postoperative complications * clinical data are unavailable.

Contact & Investigator

Central Contact

Mattia Morri

✉ mattia.morri@ior.it

📞 +390516366694

Principal Investigator

Mattia Morri

PRINCIPAL INVESTIGATOR

IRCCS Istotuto Ortopedico Rizzoli

Frequently Asked Questions

Who can join the NCT07333560 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, studying Artificial Intelligence (AI). Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07333560 currently recruiting?

Yes, NCT07333560 is actively recruiting participants. Contact the research team at mattia.morri@ior.it for enrollment information.

Where is the NCT07333560 trial being conducted?

This trial is being conducted at Bologna, Italy, Reggio Emilia, Italy.

Who is sponsoring the NCT07333560 clinical trial?

NCT07333560 is sponsored by Istituto Ortopedico Rizzoli. The principal investigator is Mattia Morri at IRCCS Istotuto Ortopedico Rizzoli. The trial plans to enroll 943 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology