Does AI input improve efficiency of 3D planning of knee replacement
Research type
Research Study
Full title
Does AI input improve efficiency of 3 D planning during knee replacement
IRAS ID
278260
Contact name
Muthu Ganapathi
Contact email
Sponsor organisation
Betsi Cadwaladr University Health Board
Duration of Study in the UK
0 years, 0 months, 16 days
Research summary
Patient Specific Instrumentation (PSI) is a technique used to perform knee replacements. MRI scan of the patient's knee is used to create 3 D model of the patients knee which is used to pre-plan the bone cuts, sizing and placement of the implants. The surgeon is provided a default plan initially (default plan) which the surgeon can modify before final approval. This approval process takes time if a number of changes are needed. We are analysing whether artificial intelligence (AI) could replicate the surgeon's preference at the default planning stage so that the surgeon will need to make lesser number of changes and thus decreasing the time taken to approve the plan. The anonymised 3 D images of previous patient's images with the surgeon's approved final plan will be used to educate AI. Subsequently, AI input will be used at the stage of default plan to see if the surgeon needs to make lesser number of changes and thus making the approval process more efficient. The surgeon will also be provided randomly different plans to rank them on the acceptability of the plan.
REC name
N/A
REC reference
N/A