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The first FDA cleared, AI-assisted colonoscopy for polyp detection.
The GI Genius™ system can detect polyps of different shapes and morphologies in real-time colonoscopy.1
Clinical benefits of GI Genius™ system include:
Each 1% increase
in adenoma detection rate (ADR) is
associated with a
3%
decrease of interval cancer risks.2
Learn about how we can strengthen our success rate for colonoscopies through the use of artificial intelligence in gastroenterology.
Screening is one of the best opportunities to prevent colorectal cancer or diagnose it early, when it’s most treatable. That’s where the GI Genius™ intelligent endoscopy module can make an impact.
The GI Genius™ system is designed to assist colonoscopy in real-time by using visual markers to alert physicians of potential colorectal lesions.
Studies have shown:
The system is trained with a dataset of 13 million polyp images of various shapes and sizes4
Dr. Tyler Berzin
Associate Professor of Medicine
Director, Advanced Endoscopy Fellowship
- Tyler Berzin, M.D.
Incorporating the GI Genius™ system at work
Learn from the experience from Dr. Tyler Berzin on the incorporation of GI Genius™ into his daily practice.
Clinical experience using the GI Genius™ system
Listen to the clinical experience of Dr. Tyler Berzin on using GI Genius™ intelligent endoscopy module during colonoscopy.
Fundamentals of GI Genius™ during colonoscopy
Hear from Dr. Douglas Rex on the fundamentals of colonoscopy and how GI Genius™ intelligent endoscopy module is incorporated into colonoscopy.
The benefits of GI Genius™ system introduces new possibilities in the field of endoscopy.
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Hassan C, Wallace M, Sharma P, Maselli R, Craviotto V, Spadaccini M, Repici A. New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection. Gut 2019;0:1–2.
Corley D, Jensen C, Marks A, Zhao W, Lee J, Doubeni C, Zauber A, Boer J, Fireman B, Schottinger J, Quinn V, Ghai N, Levin T, Quesenberry C. Adenoma detection rate and risk of colorectal cancer and death. N Engl J Med 2014;370:1298-306.
Repici A, Badalamenti M, Maselli R, Correale L, Radaelli F, Rondonotti E, Ferrara E, Spadaccini M, Alkandari A, Fugazza A, Anderloni A, Galtieri PA, Pellegatta G, Carrara S, Di Leo M, Craviotto V, Lamonaca L, Lorenzetti R, Andrealli A, Antonelli G, Wallace M, Sharma P, Rosch T, Hassan C, et al. Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial. Gastroenterology. 2020.04.062.
Per internal data. 4.2022
Wallace MB, Sharma P, Bhandari P, et al. Impact of Artificial Intelligence on Miss Rate of Colorectal Neoplasia. Gastroenterology. 2022 Mar 11:S0016-5085(22)00238-4. doi: 10.1053/j.gastro.2022.03.007. Epub ahead of print. PMID: 35304117.
Disclaimer: All content from healthcare professionals is their individual conclusions, unless otherwise cited. All speaker or author engagement for content is noted to acknowledge funding from Covidien LP, a Medtronic company, for any consulting engagement.