Skip to content
  • Our Work
    • Fields
      • Cardiology
      • ENT
      • Gastro
      • Orthopedics
      • Ophthalmology
      • Pulmonology
      • Surgical
      • Urology
      • Other
    • Modalities
      • Endoscopy
      • Medical Segmentation
      • Microscopy
      • Ultrasound
  • Success Stories
  • Insights
    • Magazine
    • Events and Webinars
    • News
    • Blog
  • The company
    • About us
    • Careers
Menu
  • Our Work
    • Fields
      • Cardiology
      • ENT
      • Gastro
      • Orthopedics
      • Ophthalmology
      • Pulmonology
      • Surgical
      • Urology
      • Other
    • Modalities
      • Endoscopy
      • Medical Segmentation
      • Microscopy
      • Ultrasound
  • Success Stories
  • Insights
    • Magazine
    • Events and Webinars
    • News
    • Blog
  • The company
    • About us
    • Careers
Contact

Announcement – 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 Vision that 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 image-based 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-assisted orthopedic surgery,” said Moshe Safran, CEO at XPlan.ai. “Accuracy and robustness have been the key challenges, and our technology provides unique capabilities in this regard, paving the way for universal access to image-based computer assisted surgery.”

XPlan’s high-fidelity X-ray based 3D knee model
XPlan’s high-fidelity X-ray based 3D knee model, compared to a conventional CT based model of the same patient

XPlan.ai ‘s groundbreaking technology provides two main benefits: clinical and operational. The clinical benefit is lower levels of radiation exposure from X-ray imaging compared to a complete knee CT scan. Operationally, all relevant patients routinely undergo X-ray imaging, offering much better accessibility than CT. Additionally, X-rays are more widely reimbursed in the U.S. healthcare system, are often lower in cost, and offer a quicker and more streamlined patient journey from diagnosis to the OR.

The clinical evaluation of this tool was conducted using imaging from total knee replacement patients from Assuta Medical Center in Tel-Aviv, a leading medical center in Israel. Unlike cadaver-based studies often used in the orthopedic technology space, the patients enrolled in this study had pathological anatomies typical of real-world clinical cases. The accuracy of the tool was proven by comparing the resulting 3D models to the ground truth patient anatomy given in a corresponding CT scan.  The accuracy was measured in multiple areas that are used for actual surgical planning, including bony landmarks and anatomical axes, and was found to be equivalent to CT-based measurements at a sub-mm level across the board.

“Today’s orthopedic patients demand precise and personalized care, incorporating technologies such as AR and surgical robotics. Using a 3D image-based preoperative model to plan the case is the best approach, enabling surgeons to be better prepared and saving precious time in the OR,” said Dr. Vadim Benkovich, Head of Orthopedic Department at University Medical Center Soroka and Founder & Medical Director of the Israeli Joint Health Center at Assuta Medical Center. “This is a win for both patients and providers – both reducing the chances of a complication or infection, and at the same time improving efficiency and providing care to more patients with the same amount of resources. I am encouraged to see that the accuracy of XPlan’s solution has passed the most stringent tests conducted in our study.”

Going forward, XPlan.ai plans to apply for FDA clearance of its knee reconstruction solution. In parallel, further applications are under development for additional anatomies, with promising initial results indicating wide applicability of XPlan’s unique technology.

About XPlan.ai

XPlan.ai, a spinoff of RSIP Vision, is building an advanced AI-based solution that provides 3D bone reconstructions from standard 2D X-rays. Our platform technology can potentially improve the efficiency and safety of computer assisted surgery, including eliminating the need for preoperative CT scan and reducing time in the OR. XPlan.ai is headquartered in Jerusalem, Israel. More information is available on the company website at xplan.ai and by contacting us at info@xplan.ai.

 

Share

Share on linkedin
Share on twitter
Share on facebook

Main Field

Orthopedics

RSIP Vision brings specific field-tested experience in solving real world orthopedic imaging challenges for multiple clinical use cases. From preoperative planning, to intraoperative navigation, and many more. We are a proven leader, enabling our clients to bring innovative AI capabilities into the market. XPlan - See our most advanced AI-enabled 3D reconstruction from standard 2D X-rays, revolutionizing joint replacement, at www.xplan.ai

View Orthopedics

Categories

  • News, Orthopedics

Related Content

Knee 3D

Announcement – XPlan.ai by RSIP Vision Presents Successful Preliminary Results from Clinical Study of it’s XPlan 2D-to-3D Knee Bones Reconstruction

Intraoperative Registration Module for Orthopedic Surgery

Announcement – Registration Module for Orthopedic Surgery

Automated Assessment of Cartilage Damage

Announcement – Automated Assessment of Cartilage Damage

Hip

Segmentation in Orthopedics with Deep Learning

Knee

Computer-Assisted Joint Replacement (hip and knee)

Surgery tool as seen on the CT scan

Navigation Systems in Orthopedic Surgery

Knee 3D

Announcement – XPlan.ai by RSIP Vision Presents Successful Preliminary Results from Clinical Study of it’s XPlan 2D-to-3D Knee Bones Reconstruction

Intraoperative Registration Module for Orthopedic Surgery

Announcement – Registration Module for Orthopedic Surgery

Automated Assessment of Cartilage Damage

Announcement – Automated Assessment of Cartilage Damage

Hip

Segmentation in Orthopedics with Deep Learning

Knee

Computer-Assisted Joint Replacement (hip and knee)

Surgery tool as seen on the CT scan

Navigation Systems in Orthopedic Surgery

Show all

RSIP Vision

Field-tested software solutions and custom R&D, to power your next medical products with innovative AI and image analysis capabilities.

Read more about us

Get in touch

Please fill the following form and our experts will be happy to reply to you soon

Recent News

Announcement – XPlan.ai Confirms Premier Precision in Peer-Reviewed Clinical Study of its 2D-to-3D Knee Reconstruction Solution

IBD Scoring – Clario, GI Reviewers and RSIP Vision Team Up

RSIP Neph Announces a Revolutionary Intra-op Solution for Partial Nephrectomy Surgeries

Announcement – XPlan.ai by RSIP Vision Presents Successful Preliminary Results from Clinical Study of it’s XPlan 2D-to-3D Knee Bones Reconstruction

All news
Upcoming Events
Stay informed for our next events
Subscribe to Our Magazines

Subscribe now and receive the Computer Vision News Magazine every month to your mailbox

 
Subscribe for free
Follow us
Linkedin Twitter Facebook Youtube

contact@rsipvision.com

Terms of Use

Privacy Policy

© All rights reserved to RSIP Vision 2023

Created by Shmulik

  • Our Work
    • title-1
      • Ophthalmology
      • Uncategorized
      • Ophthalmology
      • Pulmonology
      • Cardiology
      • Orthopedics
    • Title-2
      • Orthopedics
  • Success Stories
  • Insights
  • The company