Israeli artificial intelligence (AI) modules developer RSIP Vision has introduced a solution to enable improved outcomes for patients undergoing knee replacement surgery.

The AI solution is designed to match patients with the best possible implants to help improve comfort, reduce pain and aid quicker recovery to full mobility.

Deployed by medical device companies, the solution leverages CT segmentation technology to assist doctors and radiologists with a faster knee replacement surgery process.

Radiologists will be able to use the AI technology to analyse a patient’s CT scans and determine accurate measurements for all body parts surrounding the implant.

RSIP Vision said that this approach reduces manual effort, saves time and improves the speed and accuracy of results.

In addition, surgeons can use the AI module for planning and find the precise match for each implant, as well as the exact location to cut the bones.

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The technology can also be applied to robotic surgery, allowing a clear view of the correct regions for cutting bones and boundaries for drilling. This is expected to reduce the risk of harm to the patient.

RSIP Vision founder and CEO Ron Soferman said: “In bringing our expertise in deep learning, image processing, and computer vision to knee replacement surgery, it’s particularly gratifying to know that our AI module makes a tremendous difference in patients’ comfort and safety during a very stressful experience.”

“It’s particularly gratifying to know that our AI module makes a tremendous difference in patients’ comfort and safety.”

The AI solution for knee replacement patients is the first product in a range of modules that the company is developing using advanced AI segmentation and computer vision technologies.

Integration of these solutions into the software environments of medical devices is expected to boost capabilities and outcomes across different therapeutic fields such as orthopaedics, pulmonology and cardiology.