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Surgical Robotics

Why choose us as your partner in Robotic Assisted Surgery (RAS)?

RSIP Vision brings broad and deep experience to the table for developing novel algorithmic solutions for the surgical robotics segment. We have executed successful projects involving tool & tissue tracking, registration between different coordinate systems and segmenting tools and tissues.

AI and Computer Vision Technologies

Our team has vast experience with a set of different modalities, such as fluoroscopic images, CT, depth images, RGB images, and heat cameras, which enables our customers to quickly introduce  innovative systems into the market.

Optical Flow for RAS

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Optical Flow for RAS
  • Tissue tracking throughout the procedure
  • Highlight the tissue even when deformed or obscured by surgical tools
  • Improve procedural accuracy by identifying target tissue at all times

Tracking for RAS

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Tracking for RAS
  • Use RGB or IR cameras to track objects in the OR
  • Electromagnetic tracking can be used for catheter positioning
  • Implement SLAM to track endoscopes
  • Improve surgical precision by positioning OR tools in the patient’s coordinate system

3D Measurement in RAS

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3D Measurement in RAS
    Incorporate depth perception and 3D coordinate measurements into RAS
  • Accurate placement of tools relative to the anatomy
  • Precise measurement of pathologies
  • Improve procedural outcome and reduce perforation rate

Registration for RAS

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Registration for RAS
  • Linking surgical environment to anatomy
  • CT, MRI, X-ray, US, and RGB
  • Solving orientation, resolution, FOV, and dimensionality
  • Optimization-based registration
  • Correlations and mutual information

X-ray Calibration for RAS

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X-ray calibration for RAS

  • Connecting 3D real-life and 2D image projection
  • Flat-panel detectors (FD)
  • Image intensifiers (II)
  • Solving pincushion distortion
  • Solving S distortion
  • Solving vignetting distortion

3D Reconstruction during RAS

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3D reconstruction during RAS

  • Live and accurate 3D modeling
  • Reconstruction of anatomy
  • Reconstruction of robotic instruments
  • Internal RGB images
  • External X-ray images

General Case Study

Endoscopic Video Analysis

The challenge
  • An innovative start-up initiative in the endoscopy space wanted to quickly prove out a range of AI benefits for video analysis application
Our approach
  • The RSIP Vision R&D team, in close collaboration with in-house and client medical experts developed a multi-functional proof of concept
  • We quickly & efficiently built key capabilities including pathology detection, image segmentation, motion estimation, and image quality improvements
  • During the development process, RSIP Vision discovered novel AI use cases with strong additional business potential, enhancing our client’s value proposition
The outcome
  • Our support of this client led to a successful transaction with a large industry-leading corporation
  • We developed & delivered novel core technologies, providing a strong basis for full solution development
  • At this time, production and solution development is underway in continued partnership with RSIP Vision

Learn more

Learn more solutions and technologies from this field

Tissue Sparing in urology

AI-Assisted Tissue Sparing in Urology

Tissue sparing is a common practice during surgeries. This approach aims to remove as little as possible of the surrounding tissue during a procedure. Studies have shown that tissue sparing procedures have fewer complications and faster recovery time. In urology, tissue sparing is relevant in many surgical procedures, such as prostatectomy or cystectomy. Often a tumor needs to be removed, and it is preferable to preserve as much tissue without leaving cancer-cells behind. In prostatectomy by sparing tissue the neurovascular bundle (NVB) damage can be avoided, reducing the complication rate.

Read More
Anonymizing surgical videos

Trimming and Anonymizing Surgical Videos

As the use of robotic assisted surgeries (RAS) increases, so does the amount of recording cameras in the operating room (OR). The data from these videos is essential for post-op follow-up, training of surgeons, training of AI, and even legal purposes. However, each procedure creates an enormous amount of data, which requires storage facilities. Additionally, when sharing this data (uploading to cloud, sending to colleagues), all features disclosing identity of the patient or the healthcare provider must be removed.   Removing irrelevant parts of the video The cameras involved in

Read More
Data Generation in Robotic Assisted Surgeries (RAS)

Data Generation in Robotic Assisted Surgeries (RAS)

Every deep learning based system requires sufficient data for proper training and reliable testing. Therefore, data collection and annotation are the first and foremost required processes when approaching a deep-learning solution. Medical data, specifically videos from robotic assisted surgeries (RAS), present several challenges in this aspect: Availability – There is a limited number of surgeries performed. One cannot conduct specific surgeries or request for a surgery to be conducted in a specific manner for the purpose of data collection. Privacy – Medical data in general, and robotic data specifically, contains

Read More
TSA Planning for MRI

Announcement – Total Shoulder Arthroplasty (TSA) Planning Through MRI Scan

RSIP Vision Presents New Tool for Total Shoulder Arthroplasty (TSA) Planning Through MRI Scan Advanced artificial intelligence creates accurate and radiation-free method for TSA planning. TEL AVIV, Israel & SAN JOSE, Calif., February 28, 2022 – RSIP Vision, an experienced leader in driving innovation for medical imaging through advanced AI and computer vision solutions, today announces a new tool for Total Shoulder Arthroplasty (TSA) planning. This tool performs segmentation of the shoulder bones from shoulder MRI scan, which is usually performed in shoulder healthcare. The segmentation output undergoes super-resolution enhancement

Read More

Announcement – Intra-op Virtual Measurements in Laparoscopic and Robotic-Assisted Surgeries

RSIP Vision Presents New Technology for Intra-op Virtual Measurements in Laparoscopic and Robotic-Assisted Surgeries Innovative Technology Provides Calibration of Robotic-Assisted Surgeries’ (RAS) Images and a Platform for Accurate Measurement, Especially During Trauma and Acute Care Surgery Cases. TEL AVIV, Israel & SAN JOSE, Calif., January 25, 2022 – RSIP Vision, an experienced leader in driving innovation for medical imaging through advanced Artificial Intelligence (AI) and computer vision solutions, today announces a new supporting technology for intraoperative video analysis. This technology provides real-time, accurate anatomical measurements in surgical videos, supporting a

Read More
Success Rating and Dynamic Feedback in RAS

Success Rating in Robotic Assisted Surgeries

Success Rating and Dynamic Feedback Minimally invasive surgeries (MIS), specifically robotic assisted surgeries (RAS), generally have an improved outcome compared with standard surgeries. However, they are not free of adverse events (AE). These undesired events can be a result of human error or equipment malfunction. Early detection of the event is essential for treatment and can reduce mortality rate and extra hospitalization time significantly. RASs are normally video guided – whether using regular, endoscopic cameras, depth cameras, or a combination of them. This continuous video feed can be used to

Read More
Tissue Sparing in urology

AI-Assisted Tissue Sparing in Urology

Tissue sparing is a common practice during surgeries. This approach aims to remove as little as possible of the surrounding tissue during a procedure. Studies have shown that tissue sparing procedures have fewer complications and faster recovery time. In urology, tissue sparing is relevant in many surgical procedures, such as prostatectomy or cystectomy. Often a tumor needs to be removed, and it is preferable to preserve as much tissue without leaving cancer-cells behind. In prostatectomy by sparing tissue the neurovascular bundle (NVB) damage can be avoided, reducing the complication rate.

Read More
Anonymizing surgical videos

Trimming and Anonymizing Surgical Videos

As the use of robotic assisted surgeries (RAS) increases, so does the amount of recording cameras in the operating room (OR). The data from these videos is essential for post-op follow-up, training of surgeons, training of AI, and even legal purposes. However, each procedure creates an enormous amount of data, which requires storage facilities. Additionally, when sharing this data (uploading to cloud, sending to colleagues), all features disclosing identity of the patient or the healthcare provider must be removed.   Removing irrelevant parts of the video The cameras involved in

Read More
Data Generation in Robotic Assisted Surgeries (RAS)

Data Generation in Robotic Assisted Surgeries (RAS)

Every deep learning based system requires sufficient data for proper training and reliable testing. Therefore, data collection and annotation are the first and foremost required processes when approaching a deep-learning solution. Medical data, specifically videos from robotic assisted surgeries (RAS), present several challenges in this aspect: Availability – There is a limited number of surgeries performed. One cannot conduct specific surgeries or request for a surgery to be conducted in a specific manner for the purpose of data collection. Privacy – Medical data in general, and robotic data specifically, contains

Read More
TSA Planning for MRI

Announcement – Total Shoulder Arthroplasty (TSA) Planning Through MRI Scan

RSIP Vision Presents New Tool for Total Shoulder Arthroplasty (TSA) Planning Through MRI Scan Advanced artificial intelligence creates accurate and radiation-free method for TSA planning. TEL AVIV, Israel & SAN JOSE, Calif., February 28, 2022 – RSIP Vision, an experienced leader in driving innovation for medical imaging through advanced AI and computer vision solutions, today announces a new tool for Total Shoulder Arthroplasty (TSA) planning. This tool performs segmentation of the shoulder bones from shoulder MRI scan, which is usually performed in shoulder healthcare. The segmentation output undergoes super-resolution enhancement

Read More

Announcement – Intra-op Virtual Measurements in Laparoscopic and Robotic-Assisted Surgeries

RSIP Vision Presents New Technology for Intra-op Virtual Measurements in Laparoscopic and Robotic-Assisted Surgeries Innovative Technology Provides Calibration of Robotic-Assisted Surgeries’ (RAS) Images and a Platform for Accurate Measurement, Especially During Trauma and Acute Care Surgery Cases. TEL AVIV, Israel & SAN JOSE, Calif., January 25, 2022 – RSIP Vision, an experienced leader in driving innovation for medical imaging through advanced Artificial Intelligence (AI) and computer vision solutions, today announces a new supporting technology for intraoperative video analysis. This technology provides real-time, accurate anatomical measurements in surgical videos, supporting a

Read More
Success Rating and Dynamic Feedback in RAS

Success Rating in Robotic Assisted Surgeries

Success Rating and Dynamic Feedback Minimally invasive surgeries (MIS), specifically robotic assisted surgeries (RAS), generally have an improved outcome compared with standard surgeries. However, they are not free of adverse events (AE). These undesired events can be a result of human error or equipment malfunction. Early detection of the event is essential for treatment and can reduce mortality rate and extra hospitalization time significantly. RASs are normally video guided – whether using regular, endoscopic cameras, depth cameras, or a combination of them. This continuous video feed can be used to

Read More
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