RSIP Vision AI Solutions for Gastroenterology

by RSIP Vision  · Based in Israel → — Driving innovation in medical imaging through advanced AI and computer vision solutions.
Gastroenterology
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Overview

RSIP Vision is a recognized leader in developing advanced AI and computer vision solutions specifically for the medical industry. While the dedicated product page for their Gastroenterology AI Solutions is currently unavailable (page not found), RSIP Vision has historically offered, and possesses the core capabilities to develop, sophisticated AI technologies tailored for gastroenterology applications. Their expertise lies in transforming complex medical imaging data into actionable insights for physicians.

The AI solutions for gastroenterology from RSIP Vision are designed to significantly enhance diagnostic accuracy and procedural efficiency. Key capabilities include advanced abnormality detection and precise tissue classification within gastrointestinal images. This allows for more reliable identification of suspicious lesions and characterization of tissue types, which is crucial for early diagnosis and treatment planning.

Furthermore, RSIP Vision’s technology extends to improving endoscopic procedures, offering capabilities for real-time cancer detection during endoscopy. Their computer vision algorithms can assist gastroenterologists by highlighting areas of concern, potentially reducing missed diagnoses. The platform also supports sophisticated 3D reconstruction of gastrointestinal structures, providing physicians with detailed anatomical models for pre-procedural planning and enhanced visualization.

By leveraging deep learning and advanced image analysis, RSIP Vision aims to provide component solutions that can be integrated into existing medical devices and workflows. These AI-driven tools are intended to support gastroenterologists in making more informed decisions, optimizing surgical and interventional planning, and ultimately improving patient outcomes in a field where precision and early detection are paramount.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Abnormality detection
  • Tissue classification
  • Endoscopy image analysis
  • Cancer detection in endoscopy
  • 3D reconstruction of GI structures
  • Medical image segmentation
  • Deep learning algorithms
  • Computer vision technology

Use Cases

  • Enhanced polyp detection during endoscopy
  • Automated classification of gastrointestinal tissues
  • Pre-procedural planning with 3D models
  • Improved diagnostic accuracy in GI imaging
  • Streamlining endoscopic workflows

What Physicians Need to Know

Polyp Detection During Colonoscopy
RSIP Vision's endoscopic video analysis capabilities include pathology detection, which is crucial for identifying polyps during colonoscopy. AI-powered systems generally enhance polyp detection and reduce missed lesions.
Real-Time Endoscopy AI
RSIP Vision develops AI for real-time, accurate anatomical measurements in surgical videos. Their endoscopic video analysis aims for quick and efficient pathology detection, image segmentation, and motion estimation, implying real-time application in endoscopy.
Adenoma Detection Rate Improvement
While not explicitly stated for Adenoma Detection Rate (ADR), RSIP Vision's AI solutions for IBD scoring aim to improve reproducibility and speed of readings, which can indirectly contribute to better detection and assessment of lesions, including adenomas. AI-assisted colonoscopy generally improves ADR.
GI Pathology Analysis
RSIP Vision's R&D includes building capabilities for pathology detection, which is applicable to GI pathology analysis. AI-driven precision pathology for GI diseases shows high sensitivity in early cancer screening.
IBD Assessment Tools
RSIP Vision has developed an AI-based system that automatically computes the Mayo Endoscopic Score (MES) from colonoscopy videos for Ulcerative Colitis patients, with plans to extend to Crohn's Disease. This system aims to improve reproducibility, optimize workflow, and automate clinical trial enrollment procedures.
Quality Metrics Tracking
RSIP Vision's AI solution for IBD scoring aims to improve reproducibility and reduce inter-reader variability, which are key aspects of tracking and improving quality metrics in endoscopic procedures.
Endoscopy System Compatibility
RSIP Vision's new technology for intraoperative virtual measurements is designed to be vendor-neutral, indicating broad compatibility with third-party endoscopic imaging systems and medical robot manufacturers.
Physician Tip

Leverage RSIP Vision's AI for enhanced real-time detection and characterization of pathologies during endoscopic procedures, potentially reducing missed lesions and improving diagnostic accuracy. Utilize the AI-powered IBD assessment tools to standardize scoring (e.g., Mayo Endoscopic Score) and reduce inter-reader variability, leading to more consistent patient management and clinical trial data. Consider the potential for AI to streamline workflow by automating aspects of image analysis and contributing to better quality metrics. The vendor-neutral nature of RSIP Vision's technology suggests it can be integrated into existing endoscopy setups, facilitating adoption without requiring a complete overhaul of current equipment.

RSIP Vision's AI solutions are designed as custom software, implying integration into existing medical device software. Their technology for intraoperative virtual measurements is vendor-neutral, ensuring compatibility with a wide range of third-party endoscopic imaging systems and medical robot manufacturers. This suggests a flexible integration approach for medical device companies.

Details

Category Gastroenterology AI, Radiology & Imaging AI
Pricing Unknown — unknown
DeploymentOn-premise (integrated into medical devices)
Mobile AppNone
API AvailableUnknown
Target SizeMedical device manufacturers, leading facilities worldwide
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated — unknown
Integrations
EHR Not specified
Specialties Gastroenterology

Social Proof

Customersunknown
Notable
ClarioGI Reviewers (for IBD clinical trials)

What the Web Says

RSIP Vision AI Solutions for Gastroenterology focuses on leveraging AI and computer vision for medical imaging, particularly in gastroenterology. Their solutions aim to improve diagnostic accuracy, streamline workflows, and reduce human error in complex tasks like colonoscopy scoring for inflammatory bowel diseases (IBD). The company has a strong track record of over 25 years in medical imaging AI and collaborates with healthcare research companies and GI reviewers to develop and validate their systems.

Overall: Mixed

Strengths

  • Improved reproducibility and speed of colonoscopy video scoring.
  • Reduced limitations of central reading, such as fatigue and inter-reader variability.
  • Enhanced diagnostic accuracy and efficiency in detecting and classifying lesions.
  • Automation of clinical trial enrollment procedures and generation of rich data from IBD videos.
  • Customized AI solutions tailored to specific client needs.
  • Vendor-neutral technology allowing processing studies regardless of the source.

Limitations

  • Potential for high number of false positives in AI-assisted colonoscopy.
  • Concerns about the cost of implementing AI solutions.
  • Lack of professional society guidelines for AI deployment in GI practice.
  • Physicians emphasize the need for critical human review of AI-marked areas, as many suggestions may need to be disregarded.
  • AI in colonoscopy does not automatically yield greater diagnostic certainty and can introduce ambiguity.
  • Challenges in applying AI in practice due to various trade-offs and image variability across different hardware and user behaviors.

Based on reviews from: Surgical Robotics Technology, RSIP Vision: Reviews, Features, Pricing, Guides, and Alternatives, HaloAI, PR Newswire, Tech Company News, YouTube, AuntMinnie, r/IBSResearch, Frontiers, PMC, GI and Hepatology News, G2, Capterra

Last updated: 2026-08-11

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Press & Coverage

PR Newswire
Clario, GI Reviewers and RSIP Vision Team Up to Present a New AI Solution to Advance Clinical Trials for Inflammatory Bowel Diseases
Clario, GI Reviewers, and RSIP Vision announced a new AI-based scoring system for inflammatory bowel diseases (IBD) to improve the reproducibility of colonoscopy video scoring and optimize workflow in clinical trials. This system automatically computes the Mayo Endoscopic Score (MES) from colonoscopy videos in Ulcerative Colitis patients.
2023-03
Surgical Robotics Technology
RSIP Vision, Clario and GI Reviewers Announce New AI Solution for Inflammatory Bowel Diseases
RSIP Vision, Clario, and GI Reviewers have introduced an AI-based scoring system for inflammatory bowel diseases, aiming to enhance the consistency of colonoscopy video scoring and streamline clinical trial processes. The AI system, trained on hundreds of videos, automatically calculates the Mayo Endoscopic Score (MES) for Ulcerative Colitis patients.
2023-03
Frontiers
Artificial intelligence in advanced endoscopic imaging: transforming optical diagnosis in gastroenterology
This article discusses how AI, particularly deep learning algorithms like CNNs, is revolutionizing GI endoscopy by improving the real-time detection, classification, and risk stratification of lesions, thereby enhancing diagnostic efficiency and reducing unnecessary biopsies. AI has shown high accuracy in detecting dysplasia in Barrett's esophagus and identifying adenomas and serrated lesions in the lower GI tract.
unknown
GI and Hepatology News
AI in gastroenterology and endoscopy
AI is emerging as a valuable tool in gastroenterology and endoscopy, assisting in tasks such as detecting colon polyps, classifying biliary strictures, and distinguishing autoimmune pancreatitis from pancreatic ductal adenocarcinoma. AI-assisted cholangioscopy has shown high diagnostic accuracy, outperforming traditional methods.
unknown
Axis Imaging News
RSIP Vision Launches Real-Time Surgical Workflow Analysis Technology
RSIP Vision introduced new surgical workflow analysis technology that uses AI algorithms to identify and label each stage of a surgical procedure in real-time. This innovation aims to improve treatment planning, training, and post-operative assessments, especially in robotic-assisted surgeries.
2021-06
Medical Product Outsourcing (MPO)
RSIP Vision Offers Real-Time Surgical Workflow Recognition for Robotic Surgery
RSIP Vision announced its real-time surgical workflow recognition technology for robotic surgery, which automatically tracks and identifies surgical steps. This module serves as a foundation for AI-based surgical assistance applications, enhancing pre-procedural planning, training, and post-procedure analysis.
2021-06
Business Wire
RSIP Vision Announces Versatile Medical Image Segmentation Tool, Delivering Efficient Anatomical Measurements and Better Treatment Options
RSIP Vision unveiled a general-purpose, AI-based segmentation and measurement tool designed to quickly and automatically detect objects of interest and their boundaries in medical images. This tool aims to make surgical and diagnostic measurements more accurate and is applicable across various medical imaging verticals and modalities.
2021-01
Medical Device News by Guided Solutions
RSIP Vision Presents New Technology for Intra-op Virtual Measurements in Laparoscopic and Robotic-Assisted Surgeries
RSIP Vision introduced new technology for intraoperative video analysis, providing real-time, accurate anatomical measurements in surgical videos for laparoscopic and robotic-assisted surgeries. This innovation supports various clinical use cases, such as bariatric surgery and small bowel resection, by offering precise measurements to surgeons.
2022-01

Videos

Product demos, reviews, and walkthroughs for RSIP Vision AI Solutions for Gastroenterology.

View all on YouTube

Frequently Asked Questions

RSIP Vision's AI solutions are primarily utilized for automated analysis of endoscopic videos, such as computing the Mayo Endoscopic Score (MES) for Ulcerative Colitis patients from colonoscopy videos. This technology aims to enhance the reproducibility and speed of scoring in clinical trials, alongside general endoscopic video analysis for tasks like pathology detection, image segmentation, and quality assessment.
While specific regulatory clearances for RSIP Vision's gastroenterology AI products are not explicitly detailed in the provided information, their solutions are integrated into commercial medical devices and are in active clinical use worldwide. The broader field of AI in healthcare is navigating challenges related to regulatory harmonization and medicolegal ambiguity, underscoring the importance of robust validation and adherence to evolving ethical frameworks for such technologies.
Implementing AI in gastroenterology, including solutions from RSIP Vision, can face limitations such as challenges with data quality, model interpretability, and ensuring generalizability across diverse patient populations and clinical settings. Endoscopic videos present significant challenges for AI processing, and there is an ongoing need for standardized protocols for data acquisition and validation to ensure consistent performance.
While direct competitors for RSIP Vision's specific IBD scoring AI are not explicitly listed, other AI applications in gastroenterology include AI medical scribes like DeepScribe, Nuance DAX, Suki, and Abridge. For general endoscopic video management and potential AI integration, platforms such as Virgo offer cloud-based video storage for GI endoscopy units.
Specific pricing details for RSIP Vision's AI solutions in gastroenterology are not publicly available in the provided search results. Pricing models for advanced medical AI solutions typically vary based on the specific application, the complexity of integration into existing systems, the scale of deployment within a practice or institution, and the nature of licensing agreements with medical device manufacturers or healthcare providers.
Beyond Ulcerative Colitis scoring, RSIP Vision and its collaborators plan to expand their IBD solution to include Crohn's disease scoring and AI-enabled extraction of rich, video-based data for deeper analytics. More broadly, RSIP Vision offers custom AI for pathology detection, image segmentation, motion estimation, and quality grading across various endoscopic applications, with potential for developing novel, quantitative IBD scoring systems.

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Suggest an Edit → | Last Verified: 2026-05-12 | First Added: 2026-05-12
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