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Gastro

Powering your next innovation in AI for gastroenterology

Tomorrow’s AI solutions for gastroenterology will cover ever-expanding use cases - from efficient disease screening to advanced endoscopy and interventional use cases, RSIP Vision’s technologies are here to help you lead the pack in this fast-growing space.

AI and Computer Vision Technologies

Our deep technology stack includes 3D reconstruction, multimodal image fusion, automated abnormality detection & measurement, video analytics, and more.

Abnormality & Tissue Classification

Detect & distinguish subtle findings in endoscopic video, MRI, and other modalities

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Abnormality & Tissue Classification
Endoscopy with cancer detection
  • Automatic detection of tumors, ulcers, other pathologies in gastroscopy videos
  • Automated analysis of MRI and contrast CT scans
  • Accurate classification of findings
  • Save time and effort for treating physician

3D Reconstruction

Reconstruct anatomy and implements from 2D imaging

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3D Reconstruction
Applications
  • Lumen depth reconstruction
  • Scope / catheter reconstruction
  • Tool reconstruction
Input types
  • Stereo or monocular video
  • Fluoro & other intraoperative imaging modalities
Technologies
  • Neural networks - when training data is available
  • Classical computer vision

Image Segmentation

Segment & measure findings and regions

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Image 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
Video-Analytics

Video Analytics

Detect key events & abbreviate videos

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Video Analytics
  • Video-AnalyticsIdentify workflow stages
  • Detect operations of implement (e.g. 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
  • Video abbreviation - auto-detection of non informative frames
EUS

Endoscopic Ultrasound

Identify views and landmarks. Image registration and reconstruction

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Endoscopic Ultrasound
EUS
  • Labeling of anatomical areas of interest
  • Precise segmentation
  • 3D model creation from 2D cross-sections
  • Automated image quality grading
  • AI-based artifact detection
  • Multimodal registration

Advanced Endoscopy & ERCP

3D reconstruction, stricture classification, tool tracking & more

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Advanced Endoscopy & ERCP
  • 3D reconstruction from fluoro shots
  • Improve navigation using computer vision
  • Detection of anatomical areas and events in endoscopic video feed
  • MRCP anatomical analysis
  • Tracking tools and implements
  • Classifcation of strictures

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

Motion Estimation

Track scope, 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 scope
  • Applicable to challenging surgical, endoscopic, and endoluminal scenes

Customized R&D

Application and device-specific solutions, from research through full product development

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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 enhancements
  • 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 of this solution and development is underway in continued partnership with RSIP Vision

Learn more

Learn more solutions and technologies from this field

Improved PCNL

Improved PCNL with Computer Vision

Larger stones in the kidney and proximal ureter need to be treated with PCNL (Percutaneous Nephrolithotomy), a minimally invasive urology procedure intended to remove them. It is today a very effective procedure, as it can be operated via a relatively small opening with a reduced time of hospitalization. There is also a version of it called mini-PCNL, a tubeless procedure with an even smaller port of entry, while maintaining a similar rate of efficacy. More surgeons would be able to perform PCNL if the access part were made simpler. That

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Surgical Video Analysis

AI algorithms for Surgical Video Analysis

Surgical video analysis involves using artificial intelligence and machine learning algorithms to analyze surgical video footage. This practice, which includes both intraoperative and postoperative video analysis, has numerous benefits for patients, for surgeons and for other medical professionals as well. We spoke with Asher Patinkin, one of the most knowledgeable experts in this field at RSIP Vision. He provided a full review of the most advanced AI and Computer Vision algorithms that can be used for surgical video analysis. Depending on the specific requirements, Deep Learning algorithms, such as convolutional

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Soft Tissues Tracking during Brain Surgery

Soft Tissue Tracking during Brain Surgeries

Most of the tissue handled by the surgeon (or by a robotic hand) during brain surgeries is flexible: With the obvious exception of bone, which is rigid, all the structures touched during the surgery change shape and place. For instance, by changing the force applied to the brain, like when the skull is opened, the pressure on the brain changes and, as a consequence, its shape changes too. It is key for the surgeon to know where each point has moved to: if the tumor that needs to be treated

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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
Real-Time Surgical Workflow Recognition

Announcement – Real-Time Surgical Workflow Recognition

RSIP Vision Reveals Its Newest Feat of Medical Imaging Innovation: Real-Time Surgical Workflow Recognition and Analysis Technology for Robotic Assisted Surgeries The company’s newest module automatically tracks and identifies specific surgical steps during procedures, providing the key basis for intraoperative clinical decision support systems and post-op analysis while enhancing robotic surgery systems. TEL AVIV, Israel & SAN JOSE, Calif., June 15, 2021 – RSIP Vision, a respected leader driving medical imaging innovation through advanced AI and computer vision solutions, announced today its new surgical workflow analysis technology, which can intelligently

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Automated IBD Scoring

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

Clario, GI Reviewers and RSIP Vision Team Up to Present a New AI Solution to Advance Clinical Trials for Inflammatory Bowel Diseases Innovative, human-level AI technology will improve efficiency and consistency of Inflammatory Bowel Disease (IBD) scoring, advancing clinical trials of novel treatments for these debilitating ailments. PHILADELPHIA, PA, Copenhagen, Denmark; San Mateo, CA; Boston, MA; & Jerusalem, Israel – March 6, 2023 – Clario, a leading healthcare research and technology company that generates the richest clinical evidence for the clinical trials industry and GI Reviewers, LLC Gastroenterology consultants and

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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
AI in Diagnostic ERCP

Image Analysis and AI in Diagnostic ERCP

Recent developments in the field of medical image analysis and artificial intelligence (AI) are used to improve the procedural outcomes of ERCP (Endoscopic retrograde cholangiopancreatography). Here is how RSIP Vision develops AI for diagnostic ERCP. Read what we do for enabling 3D Image Reconstruction and Image Registration/Fusion. Learn how strictures detection and classification can provide the physicians with classification scoring and, sometimes, help them avoid unnecessary biopsies during ERCP.

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Type 4 cholangiocarcinoma

Enhanced ERCP tumor assessment using AI

ERCP involves both endoscopy and fluoroscopy on a region with limited access. Accordingly, it poses several challenges for the gastroenterologist performing the procedure: imaging and artificial intelligence are key technologies to solve these challenges. They are used to reconstruct multiangle 2D X-ray images into a 3D image that will help the gastroenterologists in real-time navigation, reducing any complications involved in the navigation process. AI can be trained to accurately classify each tumor found by ERCP and check whether it is cancerous or not. 

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ERCP Gallstones and strictures

AI in ERCP gallstones and strictures treatment

When performing ERCP for stone removal and stricture treatment, the gastroenterologist must overcome several challenges, namely navigation in the region of interest and the choice of the most fitting treatment that must be selected and implemented. AI enables to reconstructing a 3D image from multi-angle X-ray images or ultrasound slices. It is also trained to accurately classify the type of blockage that necessitated the ERCP procedure in the first place, resulting in quicker and more efficient ERCP procedures.

Read 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