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Feature Analysis of Knee Joint Magnetic Resonance Imaging Based on Artificial Intelligence
Sponsor: Tang-Du Hospital
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.
Key Details
Gender
All
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
9500
Start Date
2026-07-02
Completion Date
2026-08-01
Last Updated
2026-08-25
Healthy Volunteers
Yes
Conditions
Locations (1)
Tangdu Hospital, Fourth Military Medical University
Xi'an, Shaanxi, China