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Surgical Intelligence

Premier partner for surgical intelligence & medical video analysis

AI-assisted surgery is one of the most important emerging frontiers in medical imaging. RSIP Vision can help you build the advanced image processing capabilities needed to improve efficiency, safety, surgeon training, visual enhancement, 3D navigation, and more for the OR of the future.

AI and Computer Vision Technologies

From tissue segmentation to motion tracking to detection to action recognition and analytics-we’ll bring the latest state-of-the-art capabilities into your product

Tissue Segmentation

Measure anatomies and abnormalities

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Tissue Segmentation
  • Pixel wise and instance segmentation of anatomy and abnormalities
  • Challenges addressed:
    • Clinical variability between patients
    • Image & color variability between scopes
    • Correct handling of low-quality frames
    • Ambiguous & deforming soft tissue anatomy
    • Subtle visual differences between distinct anatomical classes

Action Recognition

Surgical events & workflow analysis. Video abbreviation

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Action Recognition
Identify workflow stages
  • Detect operations of implement (e.g. suturing, cautery, biopsy collection)
  • Entering & exiting various parts of the anatomy
  • Detect occlusion of the field due to blood, wash, motion, etc
  • Detect proximity to anatomical structures

Implements Analysis

Detect keypoints, identify, and segment surgical tools

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Implements Analysis
  • Multiple functionalities:
    • Detection
    • Classification of instrument type
    • Pose estimation
    • Pixel wise segmentation
  • Addressing clinical challenges (noise, smoke, overlap, corner cases, etc)
  • Clinical data curation & artificial data generation
  • Robust development processes to achieve production quality performance
  • Real time running times achievable on standard computing hardware

Motion Estimation

Track camera, objects, and anatomy

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Motion Estimation
  • Leveraging deep learning and classical image processing techniques
  • Tracking tissue & objects in field of view
  • Tracking self-motion of camera
  • Applicable to challenging surgical, endoscopic, and endoluminal scenes

3D Reconstruction

Extract depth information from 2D imaging

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3D Reconstruction
Applications
  • Depth mapping of surgical scenes
  • 3D pose of surgical tools
Input types
  • Stereo or monocular video
  • Fluoro & other intraoperative imaging modalities
Technologies
  • Neural networks - when training data available
  • Classical computer vision applicable to some applications

Navigation

Bones, metal, and more in multiple modalities

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Navigation
Functionalities:
  • Integrate tracking and imaging information in single coordinate system
  • Location of all tools in the operation room
  • Fiducial based 3D navigation from intraop modalities
  • 2D navigation from intraop modalities
  • 2D-3D registration, preop-to-intraop
Computer Vision Modules:
  • 3D markers segmentation with a highly accurate 6DOF fitting
  • Anatomical segmentation in intraoperative modalities
  • Calibration of 2D to 3D
  • 2D to 3D Registration using multiple intraoperative images

Multimodal Registration

Fuse multiple image sources

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Multimodal Registration
  • Classical & deep learning based technologies
  • Customized to user needs
  • 2D-to-2D, 2D-to-3D, and 3D-to-3D capabilities
  • Rigid and deformable registration
  • Support all modalities & image characteristics

Image Enhancement

Tackle blur, speckle, color variability, and more

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Image Enhancement
  • AI-powered advanced denoising techniques
  • Automated image quality grading
  • Color corrections - tailored to specific modality & AI enabled
  • Context-aware enhancement based on prior anatomical knowledge

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

R&D Services for Endoscopy & Video Analysis

Application and device-specific solutions. Research and IP creation

Click here

Case study

Surgical Stages Recognition

The Challenge:
  • An Industry leader wanted to automate surgical stages recognition to drive efficiencies in growing analytics pipeline
Our Approach:
  • We performed a deep literature review, providing our client with a fully updated map of technologies
  • We implemented our solution, selected to achieve best results in minimal development time
  • We then adapted this solution to multiple types of surgery
Results:
  • Our client achieved state-of-the-art stages recognition performance
  • Our solution has been integrated in our client’s software pipeline

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
Show more

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Created by Shmulik

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