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Orthopedics

Why are we an amazing partner for orthopedic imaging?

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 functions. 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 Xplan

AI and Computer Vision Technologies

Our engineering and clinical teams leverage the most powerful tools, from deep neural networks to 3D computer vision, delivering effective, efficient, and innovative solutions for all orthopedic imaging tasks.

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CT Segmentation
  • Separate the bones that form the joint, including tough edge cases
  • Support noisy images, metal artifact, cone-beam
  • Detect osteophytes
  • Proven on clinical patients data

CT Segmentation

Fully automated, suits all joints

2D Segmentation

Bones, metal and more in multiple modalities

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2D Segmentation

  • Automatically contour any joint in various modalities
  • Achieve radiologist class accuracy
  • Detect metal and other customizable targets

Landmark Detection

Standard or custom, 2D or 3D detection

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Landmark Detection
  • Detect keypoints and anatomical regions
  • Standard & custom landmarks
  • Support 2D and 3D images
Arthroplasty

MRI-Based Arthroplasty Planning

Patient-specific modeling and upsampling

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MRI-Based Arthroplasty Planning

Arthroplasty

  • Fully automated
  • High Resolution Bone Models
  • Upsampling Capabilities
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MRI-Based Arthroplasty Planning

Arthroplasty

  • Fully automated
  • High Resolution Bone Models
  • Upsampling Capabilities

XPlan

AI-enabled 3D Reconstruction from Standard 2D X-rays

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XPlan - AI-enabled 3D Reconstruction from Standard 2D X-rays
  • Novel deep learning solution, developed at RSIP Vision
  • Applicable to multiple joints and anatomies
  • Adaptable to any number of projections
  • See more at www.xplan.ai

Image Registration

Preop-to-intraop, multimodal

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Image Registration

  • Register pre-op 3D model to single or multiple C-arm shots
  • Support hip and knee joints
  • Support implant orientation and/or features
  • Image stitching & panorama creation
  • Multimodal registration (CT/MR)
  • Point cloud registration to preop imaging and 3D models

Navigation

Calibration, registration, tracking & more

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Navigation

  • C-arm calibration
  • Distortion correction
  • Integrate optical tracking data with multiple image modalities
  • Point cloud and image based image registration
  • Marker detection in multiple image modalities

Surgical Planning

Custom precise measurements

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Surgical Planning
  • Precise measurements
  • Geometrical calculations (sphere, planes, etc)
  • Deep learning based automated & assisted planning, customized to client application

R&D Services

Application and device specific solutions. Research and IP creation

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Case study

Orthopedic Surgery Planning & Navigation

The challenge
  • Precision orthopedic surgery requires strong computer vision capabilities
  • Planning requires accurate 2D and 3D models of arthritic patient bones, as well as automatic bony landmark localization
  • Navigation requires image-based registration between multiple coordinate frames
Our approach
  • RSIP Vision offers a fully functional suite of AI modules for orthopedic surgery
  • Modules are highly customizable, providing capabilities such as CT, MRI, and X-ray segmentation, 2D and 3D landmark detection, 2D-to-3D reconstruction, and more
The outcome
Bone segmentation
  • Integrated into an industry-leading robotic surgery planning software
  • Validated on 100s of joint replacement patient scans
  • >98% success rate
  • <0.5mm accuracy
  • Landmark detection: Integration underway in innovative robotic surgery platform
  • Image analysis module for navigation: Integrated into an FDA-approved customer device
  • 2D to 3D registration solutions:  Integration underway in multiple devices
  • 2D to 3D reconstruction: 1mm-level accuracy demonstrated on joint replacement patient dataset

Learn more

Learn more solutions and technologies from this field

XPlan Image

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

Read More
2D-to-3D joint reconstruction from X-ray

XPlan.AI by RSIP Vision – New AI-based 2D-to-3D Joint Reconstruction from X-ray Images

3D models of joints and bones are widely used for a large variety of orthopedic clinical purposes including preoperative planning, patient specific implant design, jig printing, intraoperative navigation and other clinical purposes for which precise and detailed anatomy is required. An example of such a procedure for which a 3D model of joints is required is Arthroplasty. Arthroplasty, one of the most common procedures in the US with more than 1 million procedures performed annually, is an orthopedic surgical procedure that aims to restore functionality and relieve pain by a

Read More

AI-Enabled Urology – A Clinician’s Perspective

This webinar was held on Wednesday April 19, 2023 Guest speaker: Michael Gorin, M.D. Associate Professor of Urology at Icahn School of Medicine at Mount Sinai We apologize for the inability to display the video of that webinar: this is due to unexpected technical issues beyond our control. A webinar on the latest advancements in AI for medical procedures, specifically in the field of urology. Dr. Michael Gorin discussed AI’s role in organ segmentation for various urological use cases, such as prostate biopsy, prostate ablation, and pre-op PCNL planning. He

Read More
Invitation Yipeng Hu February 23

Machine Learning in Ultrasound Guided Surgery and Intervention

Thursday February 23, 2023 Host: Moshe Safran – CEO of RSIP Vision USA Guest speaker: Dr. Yipeng Hu, Associate Professor at UCL and Affiliated Researcher at WEISS Machine Learning in ultrasound-guided surgery and intervention: tasks such as localization, registration, planning, and quality for liver surgery, prostate biopsy, and therapy. Dr. Hu focused on how new clinical problems are formulated as machine learning tasks and how close they are to clinical use. It’s a webinar organized and offered by RSIP Vision!  

Read More

Next Generation Intra-op Navigation

During minimally invasive surgeries, surgeons are limited in their field of view, which restricts their observation of the patient’s full anatomy. This may lead to suboptimal surgical outcomes or even errors. For example, in a tumor excision procedure, healthy tissue may be injured, or worse, the surgeon may fail to optimally remove the lesion. Surgeons base the procedure on pre-op images of the area such as CT scans, which provide a snapshot of the internal tissue. Navigation systems are then utilized to fit the scan to the coordinate system of

Read More
Paul-Yi

Can we trust AI?

Thursday November 17, 2022 Host: Moshe Safran – CEO of RSIP Vision USA Guest speaker: Dr. Paul Yi, Director at the University of Maryland Medical Intelligent Imaging (UM2II) Center Can we trust AI? The potential pitfalls of deep learning in musculoskeletal imaging and the opportunities for solving these challenges. It’s a webinar organized and offered by RSIP Vision!  

Read More
XPlan Image

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

Read More
2D-to-3D joint reconstruction from X-ray

XPlan.AI by RSIP Vision – New AI-based 2D-to-3D Joint Reconstruction from X-ray Images

3D models of joints and bones are widely used for a large variety of orthopedic clinical purposes including preoperative planning, patient specific implant design, jig printing, intraoperative navigation and other clinical purposes for which precise and detailed anatomy is required. An example of such a procedure for which a 3D model of joints is required is Arthroplasty. Arthroplasty, one of the most common procedures in the US with more than 1 million procedures performed annually, is an orthopedic surgical procedure that aims to restore functionality and relieve pain by a

Read More

AI-Enabled Urology – A Clinician’s Perspective

This webinar was held on Wednesday April 19, 2023 Guest speaker: Michael Gorin, M.D. Associate Professor of Urology at Icahn School of Medicine at Mount Sinai We apologize for the inability to display the video of that webinar: this is due to unexpected technical issues beyond our control. A webinar on the latest advancements in AI for medical procedures, specifically in the field of urology. Dr. Michael Gorin discussed AI’s role in organ segmentation for various urological use cases, such as prostate biopsy, prostate ablation, and pre-op PCNL planning. He

Read More
Invitation Yipeng Hu February 23

Machine Learning in Ultrasound Guided Surgery and Intervention

Thursday February 23, 2023 Host: Moshe Safran – CEO of RSIP Vision USA Guest speaker: Dr. Yipeng Hu, Associate Professor at UCL and Affiliated Researcher at WEISS Machine Learning in ultrasound-guided surgery and intervention: tasks such as localization, registration, planning, and quality for liver surgery, prostate biopsy, and therapy. Dr. Hu focused on how new clinical problems are formulated as machine learning tasks and how close they are to clinical use. It’s a webinar organized and offered by RSIP Vision!  

Read More

Next Generation Intra-op Navigation

During minimally invasive surgeries, surgeons are limited in their field of view, which restricts their observation of the patient’s full anatomy. This may lead to suboptimal surgical outcomes or even errors. For example, in a tumor excision procedure, healthy tissue may be injured, or worse, the surgeon may fail to optimally remove the lesion. Surgeons base the procedure on pre-op images of the area such as CT scans, which provide a snapshot of the internal tissue. Navigation systems are then utilized to fit the scan to the coordinate system of

Read More
Paul-Yi

Can we trust AI?

Thursday November 17, 2022 Host: Moshe Safran – CEO of RSIP Vision USA Guest speaker: Dr. Paul Yi, Director at the University of Maryland Medical Intelligent Imaging (UM2II) Center Can we trust AI? The potential pitfalls of deep learning in musculoskeletal imaging and the opportunities for solving these challenges. It’s a webinar organized and offered by RSIP Vision!  

Read More
Show more

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R&D Services

How we work

Planning
    • Free consultations for concept development
    • Work plan creation & literature review
Data
    • Data acquisition assistance thru our medical partners
    • Support custom datasets

Execution

    • Multidisciplinary team – PM, R&D, medical, & annotation
    • Weekly client meetings
    • Full transparency at all stages

Deliverables

    • Software, source code, technology transfer, integration support & new IP
    • Solution is yours to keep, no per-use royalties