ColonPRO™ 4.0 (CPRO40S-US)

Colorectal Surgery Gastroenterology

Regulatory Status Disclosed

Overview

The ColonPRO™ 4.0 (CPRO40S-US) is an artificial intelligence-based software component of the GI Genius™ intelligent endoscopy module, developed by Cosmo Artificial Intelligence – AI. It is designed to assist endoscopists in real-time detection of colonic mucosal lesions, such as polyps and adenomas, during standard white-light colonoscopy examinations for screening and surveillance. The system analyzes live video images from any compatible endoscope and provides visual markers (e.g., green boxes) on the display to highlight suspicious areas, thereby enhancing lesion detection rates and supporting clinical decision-making. It is not intended to replace the physician’s judgment.

ColonPRO™ 4.0 features improved detection performance through a retrained neural network and introduces a non-clinical “Procedure Highlights” function for data aggregation, supporting healthcare organizations in optimizing their practices.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Use Cases

  • Real-time assistance during colonoscopy procedures
  • Enhancing detection of colonic polyps and adenomas
  • Improving adenoma detection rates (ADR)
  • Supporting screening programs for colorectal cancer
  • Facilitating surveillance endoscopic mucosal evaluations
  • Data aggregation for practice optimization (via Procedure Highlights)

What Physicians Need to Know

Polyp Detection During Colonoscopy
ColonPROu2122 4.0 is an AI-assisted colonoscopy software that utilizes deep learning algorithms to aid endoscopists in the real-time detection of colonic mucosal lesions, including polyps and adenomas. It offers real-time polyp size estimation and has demonstrated improved detection performance, including a 9% reduction in false positives compared to its predecessor. The system is designed to identify polyps of various sizes, shapes, and morphologies, including small and flat lesions.
Real-Time Endoscopy AI
The system functions in real-time, providing immediate visual markers (e.g., a green box) on the endoscopy monitor to highlight potential abnormalities consistent with colorectal polyps. This serves as an 'ever-vigilant second observer' during the procedure.
Adenoma Detection Rate Improvement
Clinical evidence indicates that using the GI Geniusu2122 system, which incorporates ColonPROu2122 4.0, can increase adenoma detection rates (ADR) by up to 14.4% and reduce adenoma miss rates by approximately 50% compared to standard colonoscopy. A 1% increase in ADR is associated with a 3% decrease in the risk of colorectal cancer.
Procedure Documentation
ColonPROu2122 4.0 includes a 'Procedure Highlights' function designed to automate physicians' workflow and reduce administrative burdens in documentation. This feature provides comprehensive procedural insights and data that can be aggregated by healthcare organizations for practice optimization, with future integration capabilities for electronic health records.
Quality Metrics Tracking
The system offers automated measurements of key quality metrics during colonoscopy, including inspection times, cecum detection, and bowel cleanliness (Boston Bowel Preparation Score - BBPS). While it reliably measures withdrawal time and cecal intubation, the AI-based BBPS scoring requires further validation.
Endoscopy System Compatibility
The GI Geniusu2122 system, including ColonPROu2122 4.0, is designed for seamless integration with many FDA-cleared standard video endoscopy systems. It is compatible with existing endoscopy towers, high-definition endoscopes, and major brands of endoscopic processors (e.g., Olympus, Fujifilm, Pentax). The system connects between the video processor and the endoscopic display monitor and supports SDI, HD-SDI, and 4K UHD video standards.
Physician Tip

Physicians should leverage ColonPROu2122 4.0 as an 'ever-vigilant second observer' to significantly enhance polyp detection, particularly for small or flat lesions that might otherwise be missed. Utilize its real-time polyp size estimation and the automated quality metrics, such as withdrawal time and cecum detection, to standardize and optimize colonoscopy practice. It's crucial to remember that while the tool greatly aids detection, it does not perform diagnoses or replace clinical decision-making and biopsy sampling. Maintain clinical judgment, especially regarding bowel preparation scoring, as the AI's accuracy in this specific area is still undergoing validation.

ColonPROu2122 4.0, as part of the GI Geniusu2122 system, is engineered for seamless integration with existing endoscopy infrastructure. It is universally compatible with current endoscopy towers, high-definition endoscopes, and leading endoscopic processor brands (e.g., Olympus, Fujifilm, Pentax), connecting directly between the video processor and the display monitor. The system's AI Accessu2122 platform is designed to support future real-time AI applications and third-party integrations. Medtronic has announced collaborations, including with Modernizing Medicineu00ae (ModMed) for its gGastrou00ae EHR software, to streamline documentation and facilitate future integration with electronic health records.

Details

Category Gastroenterology AI
Pricing Unknown
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

ColonPRO™ 4.0 (CPRO40S-US) received FDA 510(k) clearance K241887 on January 17, 2026, as part of the GI Genius™ intelligent endoscopy module. The broader GI Genius system received its initial De Novo clearance on April 9, 2021, as the first AI-powered computer-aided detection system for colorectal polyps.

Integrations
EHR Not specified
Specialties Colorectal Surgery, Gastroenterology

What the Web Says

ColonPROu2122 4.0 (CPRO40S-US) is the latest software upgrade for Medtronic's GI Genius intelligent endoscopy module, an AI-assisted system designed to improve polyp detection during colonoscopies. It provides real-time visual insights, including polyp size estimation and procedural highlights, aiming to optimize and standardize colonoscopy practice. The system has received CE Mark approval and FDA clearance, with studies indicating its effectiveness in increasing adenoma detection rates and reducing missed polyps.

Overall: Positive

Strengths

  • Improves AI-driven polyp detection during colonoscopy procedures, providing real-time visual insights.
  • Increases adenoma detection rates (ADR) by up to 14.4% and reduces adenoma miss rates by approximately 50% compared to standard colonoscopy.
  • Offers real-time polyp size estimation with 85.8% accuracy, which is significantly higher than typically reported in routine practice.
  • Provides automated measurements of key quality metrics like inspection times, cecum detection, and bowel cleanliness.
  • Designed to be future-ready with flexibility to integrate an expanding range of AI applications.
  • Can help identify subtle lesions that physicians might otherwise miss, even for experienced endoscopists.

Limitations

  • The economic value of its computer-aided quality (CAQ) program for certain metrics like total procedure time, withdrawal time, and cecal identification is questioned as these can be obtained through existing methods.
  • The CAQ program's accuracy for Boston Bowel Preparation Scale (BBPS) scores is currently low, potentially altering recall recommendations.
  • Its impact may be less significant among highly experienced endoscopists and in real-world clinical scenarios compared to controlled study conditions.
  • Mainly enhances the detection of non-advanced, small polyps, without significantly impacting the identification of advanced and difficult-to-detect adenomas.
  • Some concern exists regarding potential over-reliance on the AI system, which could lead to a drop in Adenoma Detection Rate if the system is removed.
  • May lead to an increase in the removal of non-neoplastic lesions or a small increase in biopsied healthy tissue.

Based on reviews from: Medline Review, PMC, Medtronic, ASGE, G2, UCHealth, Reddit, FirstWord HealthTech, PubMed, Colon Cancer Foundation, FDA

Last updated: 2026-07-17

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Press & Coverage

FDA
510(k) Premarket Notification - GI Geniusu2122 Module 100 (GGM100.US); GI Geniusu2122 Module 200 (GGM200.US); ColonPROu2122 4.0 (CPRO40.US); GI Geniusu2122 Module 300 (GGM300-US); ColonPROu2122 4.0 (CPRO40S-US)
This FDA premarket notification from July 2026 details the clearance for several GI Genius modules and ColonPROu2122 4.0 (CPRO40S-US), submitted by Cosmo Artificial Intelligence - Ai, Ltd.. It indicates that the device is a gastrointestinal lesion software detection system.
2026-07
Medtronic
Medtronic announces CE Mark for the next generation GI Geniusu2122 module and ColonPROu2122 software
Medtronic announced in February 2026 that its ColonPROu2122, the 4th generation software for AI-assisted colonoscopy, received CE Mark approval. The new software offers real-time polyp size estimation and comprehensive procedural highlights, aiming to optimize colonoscopy practice.
2026-02
Medtronic (via PRNewswire)
Medtronic Unveils ColonPROu2122 Software for GI Geniusu2122 Intelligent Endoscopy System
In April 2024, Medtronic unveiled ColonPROu2122, the latest software for the GI Geniusu2122 intelligent endoscopy system, featuring an enhanced algorithm with a dataset twice the size of its predecessor, significantly improving polyp detection. Medtronic also announced a collaboration with Modernizing Medicineu00ae (ModMed) to integrate AI-generated data into EHRs for more efficient documentation.
2024-04
PRNewswire (via Medtronic)
Medtronic unveils the future of AI in GI: Genius Summit 2024 reveals innovations and collaborations that advance endoscopic care
Medtronic announced at the Genius Summit 2024 the launch of ColonPROu2122 software, which significantly advances AI-driven polyp detection with an enhanced algorithm and a 9% reduction in false positives. The system also introduces procedural highlights to automate workflow and reduce administrative burdens.
2024-04
FDA.report
GI Geniusu2122 Module 300 GGM300-US GI Geniusu2122 system with software ColonPROu2122. GUDID Device - FDA.report
This FDA.report entry from September 2024 describes the GI Geniusu2122 Module 300 (GGM300-US) with ColonPROu2122 4.0 (CPRO40S-US) as an electrically-powered computing unit that analyzes endoscopic video images to detect and localize suspected abnormalities in real-time. It interfaces with an endoscopic video image processing unit and display monitor, utilizing AI/deep learning software.
2024-09
PMC (via MDPI)
Machine Learning-Enabled Medical Devices Authorized by the US Food and Drug Administration in 2024: Regulatory Characteristics, Predicate Lineage, and Transparency Reporting
This peer-reviewed article from December 2025 includes ColonPROu2122 4.0 (CPRO40S-US) with FDA clearance K241887 in its comprehensive assessment of AI/ML-enabled medical devices authorized by the FDA in 2024. It highlights regulatory pathways, predicate genealogies, and transparency reporting for such devices.
2025-12
Medline Review
Medtronic ColonPRO Advancing Women in Endoscopy
This article discusses how Medtronic ColonPRO, the newest upgrade for the GI Genius intelligent endoscopy module, improves AI-driven polyp detection during colonoscopy procedures. It also highlights the increasing role of women clinicians, engineers, and researchers in guiding the development and adoption of modern endoscopy technologies.
unknown
Innolitics (via FDA)
GI Geniusu2122 Module 300 (GGM300-US); ColonPROu2122 4.0 (CPRO40S-US) (K241887)
This FDA clearance document from July 2024 confirms the substantial equivalence of GI Geniusu2122 Module 300 (GGM300-US) and ColonPROu2122 4.0 (CPRO40S-US) to legally marketed predicate devices. It specifies the device's indication for use in aiding endoscopists in real-time detection of colonic mucosal lesions during screening and surveillance endoscopic mucosal evaluations.
2024-07

Videos

Product demos, reviews, and walkthroughs for ColonPRO™ 4.0 (CPRO40S-US).

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Frequently Asked Questions

ColonPROu2122 4.0 is designed for seamless integration as a real-time computer-aided detection (CADe) system, overlaying its AI analysis onto your existing endoscopy monitor. The learning curve for gastroenterologists and their teams is generally minimal, as the system provides intuitive visual and auditory alerts for potential lesions without altering the fundamental procedural steps. Training typically focuses on understanding the AI's prompts and maintaining established workflow efficiency.
ColonPROu2122 4.0 has received FDA clearance, signifying its safety and effectiveness as an AI-assisted detection device for colonoscopy. Its use should not significantly alter existing documentation or billing codes for colonoscopies, as it functions as an assistive tool. Regarding patient data privacy, ColonPROu2122 4.0 is designed to comply with HIPAA regulations, processing video feeds locally or with secure, anonymized data handling to protect sensitive patient information.
ColonPROu2122 4.0 significantly enhances the adenoma detection rate (ADR) compared to traditional colonoscopy, acting as a 'second observer' to identify subtle or easily missed polyps. While specific comparative data against all other AI devices would require direct studies, ColonPROu2122 4.0 aims to offer a competitive edge through its advanced algorithm, potentially improving detection of diminutive and flat adenomas. It is designed to do so without significantly increasing procedure time.
The cost structure for ColonPROu2122 4.0 typically involves an initial investment for the hardware and software license, followed by a per-procedure or subscription-based fee. While specific reimbursement pathways for AI-assisted colonoscopy are still evolving, studies suggest that AI-aided colonoscopy can be cost-effective due to increased polyp detection and potential reduction in interval cancers, which may lead to long-term cost savings.
While ColonPROu2122 4.0 is highly effective, its performance can be influenced by factors such as bowel preparation quality, where suboptimal conditions may lead to an increase in false positives. The system is designed to aid in detecting various lesion types, including flat and serrated lesions, but the ultimate diagnostic accuracy still relies on the endoscopist's judgment. It is an assistive tool, not a replacement for thorough examination.
ColonPROu2122 4.0 aims to minimize false negatives by acting as a 'second pair of eyes,' significantly reducing the adenoma miss rate. While false positives are an inherent aspect of AI detection systems, ColonPROu2122 4.0's algorithm is optimized to reduce clinically insignificant alerts, and most false positives are brief and quickly recognized by the endoscopist. The system's primary goal is to enhance detection, allowing the physician to decide on the appropriate course of action, thereby balancing detection with the risk of over-biopsying.
ColonPROu2122 4.0 leverages advanced machine learning algorithms that can be updated and refined over time. The system's continuous improvement is typically driven by large, diverse datasets of endoscopic images and videos, which are used for training and validation. Data collection and usage adhere to strict privacy protocols, ensuring patient anonymity and compliance with relevant regulations to enhance the AI's accuracy and generalizability across various patient populations.

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