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GI Genius™ intelligent
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The GI Genius™ intelligent endoscopy module offers a transformative solution — to address the challenges of preventing colorectal cancer. By harnessing deep learning algorithms and real-time data, we empower physicians to detect and treat colorectal polyps through enhanced visualization.
GI Genius™ intelligent endoscopy module is trained to help in the detection of colorectal polyps regardless of shape, size, and morphology..1
The GI Genius™ intelligent endoscopy module has a 99.7 percent sensitivity rate2 and less than 1 percent false activations.2
It performs real-time analysis 82 percent faster than the endoscopist.2
Your goal is to reduce your patients' risk of colorectal cancer by identifying potentially harmful lesions.
Colonoscopy can be preventative against the development of colorectal cancer by early detection and resection of neoplastic lesions. However, the procedure is highly operator dependent and detection rates can vary greatly.3
Demonstrated in a recent study, the GI Genius™ intelligent endoscopy module can help enhance ADR. Reducing your patients’ risk of undetected polyps1 without changing your procedure — and without changing your withdrawal time.4
Polyps are really hard to see, having a little technology assist really makes a big difference.- Brook, CRC survivor
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GI Genius™ intelligent endoscopy module is your ever-vigilant second observer — designed to help you and your patients.
Second observers during colonoscopy can improve adenoma detection rate (ADR).5 Endoscopists with higher ADR during screening colonoscopy, more effectively reduce the risk of colorectal cancer.3 AI-assisted colonoscopy can increase ADR by identifying missed lesions and helping endoscopists detect the undetected.4
Each 1% increase in ADR decreases patients’ risk of CRC by 3%.3
An education platform on the clinical application of
artificial intelligence in the field of gastroenterology.
Learn the possibilities, today.
Repici A, Badalamenti M, Maselli R, et al. Artificial intelligence for colorectal polyp detection: high accuracy and detection anticipation with CB-17-08 performance. Oral or Poster. Dec. 2018.
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.
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.
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.
Aslanian HR, Shieh FK, Chan FW, et al. Nurse observation during colonoscopy increases polyp detection: a randomized prospective study. Am J Gastroenterol. 2013;10 8(2):166 –172.2.
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