GI Genius Module

by Cosmo Artificial Intelligence - Ai, Ltd.  · Based in Ireland → — An AI system providing real-time computer-aided detection of polyps during colonoscopy.
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Overview

The GI Genius™ intelligent endoscopy module is a computer-aided polyp detection system powered by AI that assists physicians in detecting colorectal polyps through enhanced visualization during colonoscopy. It functions as an ever-vigilant second observer, scanning every visual frame during a colonoscopy and highlighting potential lesions with a visual marker in real-time. This includes small, flat polyps that might otherwise be missed by the human eye.

Developed and manufactured by Cosmo Pharmaceuticals, and exclusively distributed worldwide by Medtronic, the GI Genius module aims to improve adenoma detection rates (ADR), which is a key factor in preventing colorectal cancer. Studies have shown that the GI Genius module can increase ADR by up to 14.4%, and every 1% increase in ADR reduces the risk of colorectal cancer by 3%.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Use Cases

  • Colorectal cancer screening
  • Surveillance endoscopic mucosal evaluations
  • Early detection of precancerous polyps
  • Improving diagnostic accuracy during colonoscopies
  • Reducing the risk of interval cancers
  • Assisting endoscopists in identifying subtle abnormalities

Details

Category Gastroenterology AI
Pricing Unknown — Reported cost of approximately $100,000 per module; no current reimbursement code for CADe use.
DeploymentOn-premise module connected to existing endoscopy tower, video processor, and display monitor.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated

The GI Genius™ intelligent endoscopy module received De Novo clearance from the U.S. FDA on April 9, 2021, making it the first and only commercially available computer-aided detection (CADe) system using AI to identify colorectal polyps.
Integrations
EHR Not specified
Specialties All specialties

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Suggest an Edit → | Last Verified: 2026-09-23 | First Added: 2026-09-23
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