GI Genius™ Module 100

by Cosmo Artificial Intelligence - AI  · Based in Ireland → — Powered by artificial intelligence to help you detect early, treat early.
Colorectal Surgery Gastroenterology

Contact for pricing
Regulatory Status Disclosed

Overview

The GI Genius™ Module 100 is a cutting-edge, computer-aided detection (CADe) system powered by artificial intelligence (AI) designed to assist endoscopists in real-time during colonoscopy procedures. Developed by Cosmo Artificial Intelligence – AI (also known as Cosmo Intelligent Medical Devices, a subsidiary of Cosmo Pharmaceuticals N.V.) and exclusively distributed worldwide by Medtronic, this module enhances the visualization of colonic mucosal lesions, such as polyps and adenomas. It processes real-time video from an endoscope, using advanced algorithms and computer vision techniques to identify suspicious regions and highlight them with visual markers. Studies have shown that the GI Genius™ module can significantly increase adenoma detection rates (ADR) and reduce the miss rate of colorectal polyps, thereby aiding in the early detection and prevention of colorectal cancer. It is compatible with existing endoscopy towers and high-definition endoscopes from various manufacturers, seamlessly integrating into current clinical workflows. The system is intended as an adjunct to colonoscopy and not as a replacement for clinical decision-making or histopathological sampling.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Real-time AI-assisted polyp detection during colonoscopy
  • Enhanced visualization of colonic mucosal lesions
  • 99.7% sensitivity rate for lesion detection
  • Less than 1% false positives
  • Compatible with existing endoscopy towers and high-definition endoscopes
  • Universal compatibility with various endoscopic processors (e.g., Olympus, Fujifilm, Pentax)
  • Overlays graphical markers to highlight suspicious regions
  • Aids in detecting small, flat polyps that may be missed by the human eye
  • Designed to host multiple AI software applications (via AI Accessu2122 Platform)

Use Cases

  • Aid in detecting colonic mucosal lesions (polyps and adenomas) during screening colonoscopies
  • Assist in surveillance endoscopic mucosal evaluations
  • Reduce the miss rate of colorectal polyps and adenomas
  • Improve adenoma detection rates (ADR) during colonoscopy
  • Support early detection and prevention of colorectal cancer

What Physicians Need to Know

Polyp Detection During Colonoscopy
The GI Geniusu2122 Module 100 uses advanced AI software to highlight suspicious polyps with a visual marker in real-time, acting as an 'ever-vigilant second observer'. It detects colorectal polyps of various sizes, shapes, and morphologies, including small and flat polyps, with a sensitivity rate per lesion of 99.7% and less than 1% false activations. The system has been shown to reduce the chance of missed polyps by up to 50%.
Real-Time Endoscopy AI
The module operates in real-time, processing images and overlaying graphical markers around areas of interest during standard white-light endoscopy examinations. It performs real-time analysis 82% faster than an endoscopist, detecting polyps approximately 1270 ms before the average endoscopist, thereby enhancing visualization during colonoscopy.
Adenoma Detection Rate Improvement
AI-assisted colonoscopy with GI Geniusu2122 has been shown to increase the Adenoma Detection Rate (ADR) by up to 14.4%. Studies indicate that each 1% increase in ADR reduces the risk of colorectal cancer by 3%. It significantly improves ADR compared to standard colonoscopy, representing a 12% relative increase in the likelihood of detecting at least one adenoma, and can enhance detection rates for both 'non-expert' and 'expert' endoscopists.
GI Pathology Analysis
The GI Geniusu2122 Module 100 is a computer-assisted detection (CADe) tool designed to aid in detecting lesions and is not intended to replace clinical decision-making or histopathological sampling. It is limited to use with standard white-light endoscopy imaging only. The newer ColonPROu2122 software (4th generation) offers real-time polyp size estimation, which can support accurate post-polypectomy surveillance intervals.
Procedure Documentation
The newer ColonPROu2122 software (4th generation) provides comprehensive procedural highlights. Additionally, a quality module (CADq) offers automated measurements of key quality metrics, including inspection times, cecum detection, and bowel cleanliness.
Quality Metrics Tracking
The system automates the tracking of quality metrics such as inspection times, cecum detection, and bowel cleanliness. Adenoma Detection Rate (ADR) is a validated quality indicator for colonoscopies, and higher ADRs are correlated with lower rates of interval cancers.
Endoscopy System Compatibility
The GI Geniusu2122 Module 100 is designed for seamless integration with most existing endoscopy equipment and workflows. It is compatible with major brands of endoscopic processors (e.g., Olympus, Fujifilm, Pentax) and connects in-line between the video processor and the endoscopic display monitor using standard SDI or HD-SDI output/input ports. It requires an existing endoscopy tower and high-definition endoscope. A new videoboard also supports 4K UHD functionality for compatibility with systems like the Olympus CV-1500 EVIS X1.
Physician Tip

Leverage GI Geniusu2122 as a 'second observer' to enhance polyp detection, especially for subtle or flat lesions, and utilize the real-time visual markers to guide thorough inspection during colonoscopy. Be aware that while the system significantly improves ADR, it is an aid and does not replace clinical decision-making or the need for biopsy. Consider the benefits for improving consistency in detection rates, potentially mitigating variability among endoscopists or during longer procedures. Note that the system has not been studied in patients with Inflammatory Bowel Disease (IBD), and its performance might be negatively impacted by mucosal irregularities such as background inflammation from certain underlying diseases.

The GI Geniusu2122 Module 100 is designed for seamless integration with most existing endoscopy towers, high-definition endoscopes, video processors (e.g., Olympus, Fujifilm, Pentax), and display monitors. It connects in-line between the video processor and the display, utilizing standard SDI or HD-SDI ports. The system is intended to augment the current workflow without requiring significant changes to existing procedural steps.

Details

Category Gastroenterology AI
Pricing Contact for pricing
DeploymentIntegrates seamlessly with existing endoscopy tower, video processor, and display monitor in a clinical setting.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

The GI Genius™ intelligent endoscopy module (including Module 100) received De Novo clearance from the U.S. FDA on April 9, 2021. It is a computer-assisted reading tool designed to aid endoscopists in detecting colonic mucosal lesions (such as polyps and adenomas) in real time during standard white light endoscopy examinations of patients undergoing screening and surveillance endoscopic mucosal evaluations. The device is limited for use with standard white-light endoscopy imaging only and is not intended to replace clinical decision making.

Integrations
EHR Not specified
Specialties Colorectal Surgery, Gastroenterology

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Press & Coverage

Medtronic (UK)
GI Geniusu2122 Intelligent Endoscopy Module | Medtronic (UK)
The GI Geniusu2122 module is an AI-assisted endoscopy system designed to aid endoscopists in detecting colonic mucosal lesions in real-time during colonoscopies. It has been shown to reduce adenoma and polyp miss rates and is the first CE marked system for AI-assisted colonoscopy.
2024
Medtronic News
Medtronic wins U.S. Department of Veterans Affairs contract to provide GI Geniusu2122 intelligent endoscopy module for artificial intelligence (AI) assisted colon cancer screening.
Medtronic secured a contract with the U.S. Department of Veterans Affairs to supply the GI Geniusu2122 intelligent endoscopy module for AI-assisted colon cancer screening.
2022-10
Medtronic News
GI Geniusu2122 named to Fortune 2022 'Change the World' list
Medtronic's GI Geniusu2122 was recognized on Fortune's 2022 'Change the World' list for its impact on healthcare.
2022-10
Medtronic News
Medtronic expands Health Equity Assistance Program for colon cancer screening with support from Amazon Web Services; Completes first installation of donated GI Geniusu2122 intelligent endoscopy modules.
Medtronic expanded its Health Equity Assistance Program for colon cancer screening, supported by Amazon Web Services, and completed the initial installation of donated GI Geniusu2122 modules.
2022-07
NVIDIA News
Medtronic and NVIDIA Collaborate to Build AI Platform for Medical Devices
Medtronic and NVIDIA announced a collaboration to develop an AI platform for medical devices, indicating future advancements in AI integration for healthcare technology.
2023-03
Cision PR Web (AI Breakthrough)
Medtronic recognized for artificial intelligence innovation in 2023 AI Breakthrough Awards Program.
Medtronic was honored for its artificial intelligence innovations in the 2023 AI Breakthrough Awards Program.
2023-06
unknown
Prestigious NHS AI award paves way for real-world trial of GI GeniusTM intelligent endoscopy module
The GI Geniusu2122 intelligent endoscopy module received a prestigious NHS AI award, setting the stage for real-world trials.
unknown
HealthAidb
GI Genius Module 100 u2014 Cosmo Artificial Intelligence
GI Genius Module 100, developed by Cosmo Artificial Intelligence, is listed as a clinical care diagnostic support imaging software with AI capabilities.
unknown

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Frequently Asked Questions

The GI Geniusu2122 Module 100 is an AI-powered, computer-aided detection (CADe) system designed to assist endoscopists in real-time detection of colonic mucosal lesions, such as polyps and adenomas, during standard white-light colonoscopy examinations. It functions as an 'ever-vigilant second observer,' highlighting suspicious areas with graphical markers to enhance visualization and improve adenoma detection rates.
The GI Geniusu2122 Module 100 was the first AI system for polyp detection to receive de novo clearance from the U.S. FDA in April 2021, indicating its safety and effectiveness for its intended use. Its sale, distribution, and use are restricted to prescription, and it is designed to comply with cybersecurity standards.
Yes, other AI-powered systems exist in the market that offer similar computer-aided detection (CADe) capabilities for colonoscopy, such as Fujifilm's CAD-EYE and EndoBRAIN. Some alternatives may also incorporate computer-aided characterization (CADx) modules for lesion differentiation.
Specific direct pricing for the GI Geniusu2122 Module 100 is not publicly disclosed, but Medtronic is the exclusive global distributor, and pricing models for optional add-ons are determined in the future. Acquisition often involves a capital agreement, potentially with a service plan covering installation, in-service training, and software upgrades for a set period.
The GI Geniusu2122 Module 100 is intended as an adjunct and does not replace clinical decision-making, diagnosis, or biopsy sampling. It has not been studied in patients with inflammatory bowel disease, a history of colorectal cancer, or previous colonic resection, and its performance may be negatively impacted by mucosal irregularities.
The GI Geniusu2122 Module 100 is designed for seamless integration, connecting to existing endoscope, video processor, and display monitors without requiring changes to the current endoscopy tower or high-definition endoscope. It operates without altering the procedure or withdrawal time, providing real-time AI assistance as a second observer.
The GI Geniusu2122 Module 100 is not connected to the account network, ensuring that no colonoscopy video or patient healthcare information is shared with Medtronic or third parties. The device's cybersecurity documentation includes a threat model, mitigation information, and an upgrade plan to safeguard algorithms.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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