The future is now
Learn about artificial intelligence in gastroenterology
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
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.
may reduce adenoma
miss rates (AMR) by nearly
demonstrated by the first
clinical trial looking at AMR5
Virtual reality and AI development continue to evolve in the field of gastroenterology.
Applications of virtual reality in gastroenterology
Listen to physicians discuss how the application of virtual reality might have a strong impact on the training and education of gastroenterologists.
Leading the way with artificial intelligence
Meet the Medtronic Research and Development team members who are designing the future of AI innovation for gastroenterologists.
Find articles and clinical evidence about AI in GI.
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.