Computer Vision News 30 XPlan.ai Confirms Premier Precision in Peer-Reviewed Clinical Study of its 2D-to-3D Knee Reconstruction Solution. The study, featured in the prestigious Journal of Clinical Medicine, found sub-millimeter accuracy on real-world patient imaging, enabling widespread access to precise, image-based computer-assisted surgery without the need for a CT scan. TEL AVIV, Israel –Mar 21, 2024 XPlan.ai, a spinoff of RSIP Visionthat uses AI to democratize precision orthopedics, reaches a new milestone for its X-ray based 3D bone modeling system with the publication of a peer-reviewed clinical study confirming unprecedented, sub-mm accuracy in a variety of clinically relevant measurements. The study, led by a consortium of orthopedic surgeons and published in the Journal of Clinical Medicine, found that XPlan.ai offers a promising alternative to conventional CT scans, opening up the market for imagebased computer-assisted surgery such as robotics, AR, and navigation while increasing efficiency, saving costs and avoiding unnecessary radiation exposure. XPlan.ai uses advanced artificial intelligence (AI) to produce accurate 3-dimensional bone models from two standard X-ray images. Together with XPlan’s automated planning technologies, this model can be used for surgical planning and navigation during orthopedic procedures such as total knee replacement, potentially providing incredibly large patient populations with the most advanced care while avoiding the cost, time, administrative overhead, reimbursement issues, and added radiation involved in a conventional CT scan. “Replacing CT scans with standard, universally available X-rays has long been considered a ‘holy grail’ of computer 2D-to-3D Knee Reconstruction Solution
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