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Minimally Invasive Therapies / Products / Gastrointestinal Artificial Intelligence / GI Genius™ Intelligent Endoscopy Module

Overview

Powered by artificial intelligence to help you detect colorectal polyps.'

The GI Genius™ intelligent endoscopy module is a computer-aided polyp detection system powered by AI. We empower physicians to detect colorectal polyps through enhanced visualization during colonoscopy.

Studies show that endoscopists with higher adenoma detection rates (ADR) during screening colonoscopy more effectively protect their patients from colorectal cancer.1 GI Genius™ module has been shown to increase ADR by up to 14.4%.2 Each 1% increase in ADR decreases the risk of interval cancer by 3%.1,3,4

The GI Genius system is intended to be used as an adjunct to colonoscopy procedures and is not intended to replace endoscopist assessment.

See how we use AI to bring a new era to colonoscopy.

View Info Sheet

DETECT MORE OF THE UNDETECTED

GI Genius™ intelligent endoscopy module helps the physician detect colorectal polyps of various sizes, shapes, and morphologies.4

Powered by AI, Medtronic is delivering disruptive innovation that empowers you to care for your patients. GI Genius™ intelligent endoscopy module has a 99.7% sensitivity rate and less than 1 percent false positives.5

Nearly 1 in 19

Nearly 1 in 19

people are at risk of being diagnosed with colon cancer by the age of 856

Approximately 15,500

Approximately 15,500

Australians are diagnosed with colorectal cancer each year7

Up to 14.4%

Up to 14.4%

increase in absolute detection rate (ADR)2

99%

99%

of colorectal cancer cases can be successfully treated if detected early8

Clinical Review

TAKE IT FROM THE EXPERTS

Read Professor Alessandro Repici’s lierature review here

.

View the clinical paper
  • 1. Corley DA, Jenson CD, Marks AR JR, et al. Adenoma Detection Rate and Risk of Colorectal Cancer and Death. The New England Journal of Medicine. 2014; 370: 2539–2541.
  • 2. Repici A, Badalamenti M, Maselli R, et al. Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial. Gastroenterology. 2020; 159:512–520.e7.
  • 3. Corley DA, Jensen CD, Marks AR JR, et al. Adenoma Detection Rate and Risk of Colorectal Cancer and Death. The New England Journal of Medicine. 2014; 370: 1298-1306.
  • 4. Recipi A, Badalamenti M, Maselli R, et al. Artificial intelligence for colorectal polyp detection: high accuracy and detection anticipation with CB-17-08 performance. Gastrointestinal Endoscopy. June 2019.
  • 5. Hassan C, Wallace MB, Sharma P, et al. New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection. Gut. 2020; 69:799-800.
  • 6. Colorectal cancer information facts and statistics. Colorectal Cancer Alliance Website. https://www.ccalliance.org/colorectal-cancer-information/statistics-risk-factors. Published 2019. Accessed Jan 2021.
  • 7. Globocan. Estimated number of deaths in 2018 worldwide, both sexes, all ages. Globocan Cancer Data. Published 2018. Accessed Jan 2021.
  • 8. National Cancer Institute. Cancer stat facts: colon and rectum cancer. National Cancer Institute Website. http://seer.cancer.gov/statfacts/html/colorect.html. Accessed Feb. 7, 2017.
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