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Detect the Undetected with GI Genius™ Intelligent endoscopy module

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The GI Genius (GIG) is the first ever polyp-identifying system using Artificial Intelligence (AI). The GIG is compatible with any colonoscope and aids endoscopists in visualizing precancerous polyps by integrating into the visual feed that is maintained during a colonoscopy. Using advanced algorithms, the GIG uses a visual marker when it identifies colon or rectal mucosa consistent with a polyp. Additionally, low-volume sounds are made to indicate tissue that needs further inspection.

(SAGES, 2021)

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Serves as a "second pair of eyes" to increase Adenoma Detection Rate (ADR) (Medtronic, 2021)

Has a 14% increase in absolute ADR compared to colonoscopy alone (Medtronic, 2021)

99.7% Sensitivity with less than 1% False Positive (Medtronic, n.d.)

Can be used with any colonoscope (Medtronic, 2021)

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Little benefit for experienced endoscopists (Neff, T., 2023)

It relies on adequate mucosal exposure, meaning if the endoscopist is not a good examiner, the GIG will not detect polyps (GI & Endoscopy News, 2024)

Not as good at detecting more advanced adenomas (GI & Endoscopy News, 2024)

It does not detect polyps through a bad bowel prep (GI & Endoscopy News, 2024)

Cannot be used for patients who cannot use the standard white-light endoscopy (SAGES, 2021)

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Opinion & Rationale: Is It Really Genius?

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Opinion & Rationale: Is It Really Genius?

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The GIG is a novel innovation and I believe it can be effective in certain situations. However, I do not think it is something that should be used universally, and is most beneficial in specific circumstances. For instance, in situations with less-experienced endoscopists, GIG offers an additional method of polyp identification and can help with highlighting "what polyp mucosa looks like". This targeted exposure can help endoscopists develop the polyp-identification skill. However, some evidence shows that GIG is beneficial to less-experienced endoscopists and provides no noticeable benefit for well-experienced endoscopists. In a study in Japan, it was found that GIG was beneficial to adenoma detection for trainees but not experienced endoscopists (GI & Endoscopy News, 2024). Additionally, if newer endoscopists were to gain continuous experience using GIG, they could become reliant on it. In a situation where GIG was not functioning, a physician might perform a suboptimal exam with one of their key resources missing. Ultimately, I think GIG could be quite beneficial, however, there is a medium to be found between bolstering the endoscopists' efforts, without neglecting the physician's skill development and maintenance.

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EMPATHY: Helps in building trusting relationships within the team. It will allow me to understand others and deliver information to them in the best way for them. This will help augment understanding of the new intervention while also acknowledging the possibility of frustrations with learning a new system.

BELIEF: Helps to encourage the confidence in the new intervention. It would allow for creating a firm foundation of hope in all the ways the new intervention will be beneficial. Essentially, belief would create a sense of steadfastness about the new innovation.

DEVELOPER: Helps to get others involved with the new innovation and see positive ways they could affect it. It will allow me to visualize ways others can interact with the new innovation. In this way, I can help make the innovation seem more personalized to them and help them take ownership of it.

CONSISTENCY: Helps to educate the team about the new innovation and set expectations. Consistency will help guide the team day-by-day on evaluating the potential innovation's implementation. Also, each team member would be treated fairly and everyone would be up to date on the evaluation process and ongoing expectations.

INCLUDER: Helps to involve others in the evaluation process, and potentially after. As the team is evaluating this new intervention, each member will have unique perspectives. Being an includer will help me accept each member's thoughts and make the evaluation process a truly collaborative effort.

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Alice the Achiever: She will serve the team well by setting the expectation for work ethic. She will be able to spend a good amount of time on evaluating the intervention, its pros, and cons. Essentially, her achiever strength will help to put in the necessary time to learn everything about the intervention and see how it applies in our work setting.

Angelica the Analyst: She will help the team by intricately evaluating the potential innovation. She will see the logical benefits and risks, can interpret the literature regarding the innovation, and thoroughly assess things that might get over-looked. She can apply this innovation to the current processes and see ways that it might benefit and hinder the current practice.

Randall the Responsible: He would help keep the team accountable in evaluating the technology. He would help to make sure the team accomplishes the goals it sets out to do.

Matthew the Maximizer: He would help get the absolute best out of the group's efforts. He would be detail-oriented and help elevate the team's performance.

Fernando the Focused: He would help to keep progress with evaluation on track. He would make sure we are meeting key progress points and keep the team centered on current important objectives.