Clinical Research Directory
Browse clinical research sites, groups, and studies.
AI-Based Video Assessment of Anterior Knee Laxity
Sponsor: ASL Lecce
Summary
This prospective observational validation study aims to evaluate the accuracy and reliability of artificial intelligence-based video analysis for quantifying anterior knee laxity. Participants with unilateral anterior cruciate ligament (ACL) injury and ACL-intact controls will undergo bilateral knee examination using a Rolimeter by two independent orthopedic surgeons. Three consecutive measurements will be obtained for each knee and examiner. Each examination maneuver will be video recorded using a standardized acquisition protocol including a metric reference of known dimensions. The videos will subsequently be analyzed independently by a multimodal artificial intelligence system blinded to clinical diagnosis, MRI findings, injured side, examiner measurements, and contralateral knee measurements. AI-derived anterior tibial translation and side-to-side difference will be compared with Rolimeter measurements. The primary objective is to assess agreement between AI-derived and Rolimeter-derived side-to-side difference. Secondary objectives include inter-examiner reliability, AI repeatability and the diagnostic accuracy of AI-derived measurements for identifying ACL injury.
Official title: Artificial Intelligence-Based Video Assessment of Anterior Knee Laxity Compared With Rolimeter in Patients With Anterior Cruciate Ligament Injury: A Prospective Validation Study
Key Details
Gender
All
Age Range
16 Years - 55 Years
Study Type
OBSERVATIONAL
Enrollment
70
Start Date
2026-09-15
Completion Date
2026-12-31
Last Updated
2026-09-22
Healthy Volunteers
Yes
Locations (1)
Ospedale Vito Fazzi
Lecce, Italy