RSIP Vision is attending AAOS 2026
New Orleans, LA – March 2 – 6, 2026 RSIP Vision is heading to AAOS in New Orleans from March 2–6, 2026 We’re bringing the
Tag: Knee
RSIP Vision will be at the Spine Summit in Phoenix, AZ
Phoenix, AZ – February 26, 2026 RSIP Vision will be at the Spine Summit in Phoenix, AZ, February 26–March 1, 2026 Meet our CEO Ron
RSIP Vision will be attending the SAGES NBT Innovation weekend
Houston , TX – February 19, 2026 We’re excited to announce that RSIP Vision will be attending the SAGES NBT Innovation weekend on February 19-21 in
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
Announcement – XPlan.ai by RSIP Vision Presents Successful Preliminary Results from Clinical Study of it’s XPlan 2D-to-3D Knee Bones Reconstruction
A tool for reconstruction of a 3D model of the knee from 2D X-ray images is being evaluated on clinical data at a leading medical
Announcement – Registration Module for Orthopedic Surgery
RSIP Vision Announces Patient-Specific, Intraoperative Registration Module for Orthopedic Surgery The new neural network technology enables accurate, quantitative measurements of bones and implants during the
Announcement – RSIP Vision Launches a New Knee Segmentation and Landmark Detection from X-ray Module
Breakthrough AI technology leads to precise surgery and optimal implant positioning, resulting in improved quality of life for the patients. SILICON VALLEY, CA, September 15,
Announcement – RSIP Vision Announces Breakthrough AI technology for 3D Reconstruction of Knees from X-ray Images
RSIP Vision Announces Breakthrough AI technology for 3D Reconstruction of Knees from X-ray Images. New technology creates a rich 3D modelling of each knee bone
Segmentation in Orthopedics with Deep Learning
Segmentation is highly important both for examination and planning of knee replacement, hip replacement, shoulder surgery, lesion detection, osteotomy and many other orthopedic procedures. Deep Learning is repeatedly being proven to be the most powerful framework for various tasks, and segmentation in orthopedics is no exception. RSIP Vision’s CTO Ilya Kovler explains how to improve the segmentation in orthopedics thanks to AI and deep learning.
Read More
Announcement – Knee Replacement by RSIP Vision
Knee Replacement Patients Enjoy Life-Changing Surgical Outcomes with RSIP Vision’s Revolutionary AI Solution Jerusalem, May 29, 2019 – RSIP Vision, a global leader in artificial
Density Measurement of Damaged Cartilage
Interpretation of ultrasound images of cartilage is challenging since they display no obvious borders in the transition between tissues: the boundary between tissues can morph in both density and texture. Our software can process these problematic ultrasound images and automatically measure the density of cartilage in the knee. The main benefits of this procedure are its non-invasive nature and the efficient and accurate measurement of the cartilage it provides.
Read More
Point and surface registration in orthopedics
Point and surface registration enable computer vision and image processing to improve surgical orthopedy practices and affect surgery outcome recovery. Bringing point and surface registration in the field of orthopedics, computer vision and image processing hold the potential to improve surgical practices and affect surgery outcome to favor the benefit of patients and fast recovery. Measurement accuracy (within less than 1 mm) is a strict constraint to computer-vision-based algorithms.
Read More
Get in touch
Please fill the following form and our experts will be happy to reply to you soon
Recent News
Upcoming Events
SAGES | Tampa, FL
March 25 - 28 2026
AUA | Washington, DC
May 15 - 18 2026
ATS | Orlando, FL
May 17 - 20 2026
Find quick answers here
© All rights reserved to RSIP Vision 2023