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Detect The Undetected

The GI Genius™ intelligent endoscopy module offers a transformative solution — powered by artificial intelligence — to address the challenges of detecting colorectal cancer, early.

It works as an adjunct to the gastroenterologist during a colonoscopy with the purpose of highlighting regions with visual characteristics consistent with different types of mucosal abnormalities, such as colorectal polyps of all shapes, sizes, and morphology.4

You and AI. 
The perfect team.

By harnessing deep learning algorithms and real-time data, GI Genius™ supports physicians to detect and estimate possible histology of colorectal polyps through enhanced visualization in White Light colonoscopy.2,3

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Clinical evidence, trainings and more

Learn more about the technology and clinical evidence behind GI GeniusTM and optical diagnosis, training opportunities, procedural information and much more.

Explore more resources on GI GeniusTM and Optical Diagnosis

Leveraging Artificial Intelligence

Deliver better outcomes

The GI Genius™ intelligent endoscopy module enhances your ability to detect colorectal polyps of all shapes and sizes.5 Learn how GI Genius™ can help improve your real-time decision-making.6

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Indications for Use

  • GI Genius™ is intended to be used by trained clinicians as an adjunct to video Endoscopy for the purpose to highlighting regions with visual characteristics consistent with different types of mucosal abnormalities.
  • Highlighted regions can be independently assessed by the operator and appropriate actions taken according to the standard clinical practice.
  • Currently, GI Genius™ is trained to process colonoscopy images that may contain regions consistent with colorectal lesions like polyps, including those with flat (non-polypoid) morphology. 
  • GI Genius™ is intended to be used as an adjunct to endoscopy procedures and is not intended to replace histopathological sampling as means of diagnosis.

Resources

  • 1. Corley DA, Jenson CD, Marks AR JR, et al. Adenoma Detection Rate and Risk of Colorectal Cancer and Death. NEJM 2014;370:1298-306.
  • 2. Cesare Hassan, Giuseppina Balsamo, Roberto Lorenzetti, Angelo Zullo, Giulio Antonelli, ARTIFICIAL INTELLIGENCE FOR LEAVING IN SITU COLORECTAL POLYPS RESULTS OF A REALTIME CLINICAL TRIAL, , Clinical Gastroenterology and Hepatology (2022), doi: https://doi.org/10.1016/j.cgh.2022.04.045.
  • 3. Houwen B., Hassan C., Definition of competence standards for optical diagnosis of diminutive colorectal polyps: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement, Endoscopy 2022; 54: 88–99.
  • 4. V and V data on file/usability engineering file.
  • 5. GI Genius™ instructions for use.
  • 6. Repici, A., Badalamenti, M., Maselli, R., et al. (2020). Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial. Gastroenterology.
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