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Feature Analysis of Knee Joint Magnetic Resonance Imaging Based on Artificial Intelligence

NCT07784686 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 9500

Last updated 2026-08-25

No results posted yet for this study

Summary

This retrospective observational study aims to investigate imaging features of the knee joint on magnetic resonance imaging (MRI) using artificial intelligence (AI)-based image analysis. Existing knee MRI examinations from eligible participants are retrospectively reviewed and analyzed. AI methods are used to identify and characterize anatomical structures and imaging abnormalities of the knee and to quantitatively evaluate relevant imaging features. The study aims to assess the feasibility and performance of AI-assisted MRI analysis and to explore its potential value in improving the objective and reproducible evaluation of knee joint imaging.

Conditions

  • Knee Joint

Sponsors & Collaborators

  • Tang-Du Hospital

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-07-02
Primary Completion
2026-07-20
Completion
2026-08-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07784686 on ClinicalTrials.gov