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Medtronic / Covidien Products / Gastrointestinal Artificial Intelligence / Computer-Aided Detection. Analysis. Prediction

GI Genius™ intelligent endoscopy module

Computer-aided detection. Analysis. Prediction.

The GI Genius™ intelligent endoscopy module offers a transformative solution — powered by AI — to address the challenges of detecting potential signs of colorectal cancer, early.1

Contact us View GI Genius™ portfolio

Artificial Intelligence.
Real advantage.

Colorectal cancer is the second most common cause of cancer-related deaths in Europe.2

With GI Genius™ on your endoscopy team, you will be able to detect more life-threatening cancerous lesions. This market-leading endoscopy AI technology has been shown to increase endoscopists’ adenoma detection rates (ADRs) by up to 14%.1

So it’s a proven partner in helping you to protect patients more effectively from colorectal cancer (CRC).1,3

Why GI Genius™?

We’re transforming healthcare with the first commercially available computer-aided detection (CADe) device.

  • Automatic detection in real-time
  • Detects colorectal polyps of all shapes and sizes9
  • Compatible with all major brands of endoscopic equipment22
  • Seamlessly integrates with existing workflow22

The future is now. Learn more.
Deliver better outcomes

The GI Genius™ intelligent endoscopy module enhances your ability to detect colorectal polyps of all shapes and sizes.22

Learn how GI Genius™ can help improve real-time decision-making1

Real evidence

Real integration

GI Genius™ works how you work, integrating easily into your current department set up.9

It dovetails with your procedural workflow, without the need for any changes.9

Simply add the GI Genius™ intelligent endoscopy module to your existing endoscopy tower - it has demonstrated full compatibility with all major brands of endoscopy equipment.9

Real usability

  • GI Genius™ engages automatically when a polyp is framed consistently, then actively follows the lesion around the image frame10
  • When you inspect the lesion, GI Genius™ automatically transitions to optical diagnosis, to enable characterisation10
  • Optical diagnosis is carried out in the same white light setting as polyp detection10
  • GI Genius™ does not extend procedure time1

Reviews and recognition

Real expertise

Leading gastroenterologists talk about their work with GI Genius™.
Medtronic Partnering with NHS to advance evidence on Artificial Intelligence in colonoscopy

"We are immensely proud to have won the NHS AI award. It will allow us to work in partnership with King’s College Hospital (KCH) and the NHS to assess GI Genius™ intelligent endoscopy module in real-world conditions, in busy GI departments across the country. Bowel cancer kills more people in the UK than almost any other cancer and this trial will further our mission to detect early and improve patient outcomes."

- Darin Wilson, Business Unit Leader Western Europe, Medtronic

Read more KCH press release
ESGE Medtronic AI research award

We are proud to announce, in partnership with the European Society of Gastrointestinal Endoscopy, the first Artificial Intelligence Research Award valued at €1.5 Million, to help the detection of colorectal cancer.

The ESGE Medtronic Research Award supports Artificial Intelligence (AI) research in the field of colonoscopy.

Learn more about the awarded grants

Interested in learning more?

Contact us to learn more about how AI can assist you in delivering better results

Contact us

Clinical evidence

Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial

Authors: Repici, A., Badalamenti, M., Maselli, R., et al.

Published in: Gastroenterology. 2020

Download the clinical summary
Computer-aided detection-assisted colonoscopy: classification and relevance of false positives

Authors: Hassan, C., Badalamenti, M., Maselli, R., et al.

Published in: Gastrointestinal Endoscopy. 2020; DOI: https://doi.org/10.1016/j.gie.2020.06.021

Download the clinical summary
Impact of Artificial Intelligence on miss rate of colorectal neoplasia

Authors: Wallace M. B., Sharma P., Bhandari P., et al.

Published in: Gastroenterology, 2022

Download the clinical summary

GI Genius™ in action

Team performance

  • GI Genius™ helps standardise performance across your team by reducing variation in physician performance1
  • It has the potential to reach in every colonoscopy the same level of accuracy that can be met only by a few very experienced physicians10

Polyp characterisation

  • In a recent study, GI Genius™ CADx in standard white-light endoscopy showed a 97.6% negative predictive value7 
  • This greatly exceeds the requirements for Leave-in-Situ strategies7
  • GI Genius™ supports endoscopists to reach high confidence optical diagnosis7

Polyp detection

  • GI Genius™ alerts the endoscopist to difficult-to-detect lesion types, including flat lesions and diminutive polyps
  • This has helped boost ADR detection rates by up to 14%1 and reduce missed lesions by almost 50%5
Working with you to find the hard-to-find

Some potentially adenomatous lesions can be hard to detect, due to variations in their size and morphology. Polyps can often be located at the periphery of the visual field and mixed with potential distractors which are similar in appearance4. 

But detecting them is worth the effort.  

Each 1% increase in ADR actually decreases the risk of interval cancer by 3%3 – which is reassuring to you and your patients.

View GI Genius™ portfolio

The promise of progress

Medtronic Endoscopy is committed to continually enhancing the GI Genius™ intelligent endoscopy module. With this commitment, we are happy to introduce the latest version of GI Genius™ artificial intelligence software.

Learn about GI Genius™ 2.0 Software

Events & education

Discover GI Genius™ Academy

Transforming healthcare and patient outcomes

An education platform on the clinical applications of artificial intelligence in the field of gastroenterology.

Learn the possibilities, today.

Learn more
GI Genius Academy

Learn more how to integrate GI Genius™ in your clinical practice.

Watch our on-demand webinar session.

Artificial Intelligence in Lower GI: Can AI deliver real value to your clinical practice today?

Faculty: 

  • Dr. Giulio Antonelli – Gastroenterologist - Moderator and Speaker 
  • Prof. Markus Ellrichmann – Gastroenterologist - Speaker

Watch now

Upcoming events

There are currently no upcoming events, please check back at a later date.

Past events

Artificial Intelligence in lower GI: unlocking the potential of AI in clinical practice

July 4th, 2023 17:00 - 18:15 CEST

  • Faculty  Prof. Helmut Messmann
  • Dr Giulio Antonelli
  • Dr Sergio Coda
  • Dr Karsenti

GI Genius™ support

Technical support

Customer technical helpline: 01452 223217
Email: rs.gi-support@medtronic.com

A dedicated support center for the solutions of technical issues

  • Customer technical service center for gastrointestinal and hepatology products.

Interested in learning more?

Contact us to learn more about how AI can assist you in delivering better results

Contact us
References

  1. Repici A, Badalamenti M, Maselli R, et al. Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial. Gastroenterology (2020). https://doi.org/10.1053/j.gastro.2020.04.062
  2. Colorectal cancer factsheet in 2020 for EU-27 countries European cancer information system 2020. https://ecis.jrc.ec.europa.eu/pdf/factsheets/Colorectal_cancer_en-Mar_2021.pdf
  3. Corley DA, Jenson CD, Marks AR, et al. Adenoma Detection Rate and Risk of Colorectal Cancer and Death. NEJM 2014;370:1298-306.
  4. A. Cherubini and J.E. East, Gorilla in the room: Even experts can miss polyps at colonoscopy and how AI helps complex visual perception tasks, Digestive and Liver Disease, https://doi.org/10.1016/j.dld.2022.10.004
  5. Wallace M, Sharma P, Bhandari P, et al. Impact of Artificial Intelligence on Miss Rate of Colorectal Neoplasia Gastroenterology (2022).https://doi.org/10.1053/j.gastro.2022.03.007Clinical Evaluation Report. CB-17-08 System LQ20052607.
  6. Clinical Evaluation Report. CB-17-08 System LQ20052607.
  7. Hassan C, Balsamo G, Lorenzetti R, et al. Artificial intelligence for leaving in situ colorectal polyps – results of a realtime clinical trial, ClinicalGastroenterology and Hepatology (2022), doi: https://doi.org/10.1016/j.cgh.2022.04.045.
  8. 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.
  9. V and V data on file/usability engineering file.
  10. Biffi C, Salvagnini P, Dinh NN, Hassan C, Sharma P; GI Genius CADx Study Group, Cherubini A. A novel AI device for real-time optical characterization of colorectal polyps. NPJ Digit Med. 2022 Jun 30;5(1):84. doi: 10.1038/s41746-022-00633-6. Erratum in: NPJ Digit Med. 2022Aug 16;5(1):114. PMID: 35773468; PMCID: PMC9247164.
  11. Hassan, Cesare, et al. "New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection." Gut 69.5 (2020): 799-800.
  12. Repici, A., Spadaccini, M., Antonelli, G., Correale, L., Maselli, R., Galtieri, P. A., ... & Hassan, C. (2022). Artificial intelligence and colonoscopy experience: lessons from two randomised trials. Gut, 71(4), 757-765.
  13. Troya, Joel, et al. "The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze." Endoscopy AAM (2022).
  14. Biscaglia, Giuseppe, et al. "Real-time, computer-aided, detection-assisted colonoscopy eliminates differences in adenoma detection rate between trainee and experienced endoscopists." Endoscopy International Open 10.05 (2022): E616-E62
  15. Zippelius, Carolin, et al. "Diagnostic accuracy of a novel artificial intelligence system for adenoma detection in daily practice: a prospective nonrandomized comparative study." Endoscopy 54.05 (2022): 465-472.
  16. Hassan, Cesare, et al. "Computer-aided detection-assisted colonoscopy: classification and relevance of false positives." Gastrointestinal endoscopy 92.4 (2020): 900-904.
  17. Hassan, C., Spadaccini, M., ... & Repici, A. (2021). Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and metaanalysis. Gastrointestinal endoscopy, 93(1), 77-85.
  18. Spadaccini, M., Iannone, A., ... & Repici, A. (2021). Computer-aided detection versus advanced imaging for detection of colorectal neoplasia: a systematic review and network meta-analysis. The Lancet Gastroenterology & Hepatology, 6(10), 793-802.
  19. Deliwala, Smit S., et al. "Artificial intelligence (AI) real-time detection vs. routine colonoscopy for colorectal neoplasia: a meta-analysis and trial sequential analysis." International Journal of Colorectal Disease 36.11 (2021): 2291-230
  20. Reverberi, C., Rigon, T., Solari, A. et al. Experimental evidence of effective human–AI collaboration in medical decision-making. Sci Rep 12, 14952 (2022). https://doi.org/10.1038/s41598-022-18751-2
  21. Hassan C, Sharma P, Mori Y, Bretthauer M, Rex DK, COMBO Study Group, Comparative Performance of Artificial Intelligence Optical Diagnosis Systems for Leaving-In-Situ Colorectal Polyps, Gastroenterology (2022), doi: https://doi.org/10.1053/j.gastro.2022.10.021
  22. GI Genius™ instructions for use.