Before each surgery, based on their experience and their expertise, the med team plans every detail in advance and tries to forecast eventual complications such as injuries of the hip joint, loosening of the prosthesis, stiffening of the joint, and even lengthening or shortening of the leg.
For our partner it was clear that the med team needs a reliable “second-opinion” tool that could help them validate and verify all the potential risks bearing in mind all the key factors.
Finally we came up with the idea of creating an artificial intelligence engine that could analyze the photos and perform an accurate forecast.
Automation of the photo processing process of the expected result of hip prosthesis surgery.
The whole procedure was able to be carried out by a person with relatively low classifications, such as a nurse using a developed application
Pre-treatment xRay photo with the expected result and post-treatment photo to confirm the expected results (displacement).
The assumed results must be extremely accurate, because each shift translates directly into the range of motion of the joint, the patient’s mobility or even the length of his limbs.
Thanks to the early noticing of any discrepancies in the intended effect, the specialist will be able to avoid serious degenerations
The primary goal of this case was to investigate the validity of the patient specific instrument system. Two different measures were defined to judge the validity: A questionnaire was used to record the grades of the surgeon for the whole process of image acquisition until the final alignment of the cutting guides