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Clinical trial Recruiting at 1 site Observational Ages 18 and up

Augmented Reality in ACL Surgery using AI to identify landmarks

Official title: Artificial Intelligence-Based Identification of the Target Zone on Arthroscopic Images During Knee Anterior Cruciate Ligament Reconstruction: An Observational Study

Run by I.R.C.C.S Ospedale Galeazzi-Sant'Ambrogio · NCT07636278 · Data updated 2026-11-12

A computer‑vision AI will try to reliably recognize anatomical landmarks during ACL reconstruction using the existing arthroscope without changing the procedure.

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment100 (estimated)
SponsorI.R.C.C.S Ospedale Galeazzi-Sant'Ambrogio
Academic / other
Locations1 site (Milan, Michigan)
StatusRecruiting
StartedMay 26, 2026
Main results expectedDecember 31, 2026
Study endsMay 31, 2027
Registry record updatedJune 9, 2026
Trial IDNCT07636278 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults 18 years and older scheduled for primary arthroscopic ACL reconstruction at IRCCS Galeazzi-Sant'Ambrogio who consent to participate.

Probably not a fit

Patients whose arthroscopic visuals are unusable or who do not benefit from automated landmark recognition may not see a direct benefit.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study tests whether an artificial intelligence software can automatically identify key femoral landmarks on arthroscopic images during ACL reconstruction in adults. The goal is to determine if the AI can indicate when the image is clear enough and accurately outline landmarks that guide tunnel placement. Videos from standard surgical practice are used to train and validate the algorithms, without adding devices or extending operative time. The work seeks to improve consistency and precision of femoral tunnel positioning, which is linked to better long-term outcomes.

Why it matters

Potential benefit: If successful, AI guidance could support surgeons in consistently identifying native landmarks and potentially improve ACL reconstruction accuracy.

How similar studies have gone: Prior work in surgical video analysis shows promise for automated landmark recognition, but this application in ACL femoral tunnel guidance is novel and exploratory.

Who can join: the full rules

Show full inclusion / exclusion criteria 
Inclusion Criteria:

* Age 18 years or older
* Scheduled for primary arthroscopic anterior cruciate ligament reconstruction at IRCCS Galeazzi-Sant'Ambrogio
* Signed written informed consent

Exclusion Criteria:

* Revision anterior cruciate ligament reconstruction
* Arthroscopic video quality judged inadequate by the investigator (artefacts, insufficient illumination, uninterpretable images)
* Failure to sign informed consent, or withdrawal of consent

Where it's running

  • IRCCS Ospedale Galeazzi-Sant'Ambrogio
    Milan, Michigan, Italy     Recruiting

Study contacts

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
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Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.