Augmented Reality in Surgery
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorI.R.C.C.S Ospedale Galeazzi-Sant'Ambrogio
About this trial
The goal of this observational study is to learn whether an artificial-intelligence software can reliably recognise the anatomical landmarks used to guide femoral bone tunnel placement on the arthroscopic monitor image during anterior cruciate ligament (ACL) reconstruction in adults. The main questions it aims to answer are:
Can the software automatically tell when the arthroscopic image is clean enough to allow identification of these landmarks? Can the software accurately outline the key bony and cartilaginous landmarks on the femur that guide correct tunnel positioning?
Participants will undergo their clinically indicated ACL reconstruction without modifications: short video sequences of the operative field will be recorded from the arthroscopic camera already used in routine practice, and used to train and validate the algorithms. No additional devices, manoeuvres or operative time are required.
Eligibility criteria
Qualifiers
Age 18 years or older
Scheduled for primary arthroscopic anterior cruciate ligament reconstruction at IRCCS Galeazzi-Sant'Ambrogio
Signed written informed consent
Disqualifiers
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
Trial design
Treatments tested in this trial
- Primary arthroscopic anterior cruciate ligament reconstruction
Treatment groups
100 Participants
are divided into 1 treatment groupSponsors and collaborators
Source ClinicalTrials.gov