AI-Empowered Endoscopy for Colon Polyps

(Videotheque Trial)

Recruiting at 1 trial location

Age: 18+

Sex: Any

Trial Phase: Academic

Sponsor: Centre hospitalier de l'Université de Montréal (CHUM)

Disqualifiers: Coagulopathy, Low platelet count, Poor health, others

No Placebo Group All trial participants will receive the active study treatment (no placebo)

Compensation: Varies

Number of Visits: 1

10000 Participants Needed

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial aims to collect videos and images from endoscopy procedures to develop AI tools for improved quality checks and training. These tools will assist doctors in enhancing their skills and provide real-time feedback during endoscopies. The trial involves patients with rectal cancer or inflammatory bowel disease (IBD) who are scheduled for an endoscopy. It is suitable for anyone 18 or older needing an upper or lower endoscopy for screening or treatment. As an unphased trial, this study offers participants the chance to contribute to innovative technology that could enhance future medical procedures.

What prior data suggests that this AI-empowered endoscopy technique is safe?

Research has shown that using AI in endoscopy is generally safe. For example, the GI Genius™ system assists doctors in finding polyps during colonoscopies. Studies have found that these systems improve the detection of adenomas, a type of polyp. Importantly, no major reports of negative effects have been linked to this technology.

In simpler terms, AI tools in endoscopy are well-tolerated by patients. They help doctors identify potential issues without adding risks to the procedure. This makes AI-enhanced endoscopy a promising and safe option for patients undergoing a colonoscopy. ^{1 2 3 4 5}

Why are researchers excited about this trial?

Researchers are excited about this trial because it aims to revolutionize endoscopy procedures by using artificial intelligence (AI). Unlike traditional methods where the quality of endoscopy largely depends on the skill of the practitioner, this AI-empowered approach analyzes video and image data to enhance quality reporting and educational training. This could lead to more accurate diagnoses and standardized procedures across different practitioners, ultimately improving patient outcomes. Additionally, the creation of educational modules using AI could provide consistent training materials for medical professionals, potentially raising the overall standard of endoscopic care.

What evidence suggests that this AI-empowered endoscopy is effective for detecting colon polyps?

Studies have shown that AI technology effectively detects colon polyps. This technology enhances the accuracy of colonoscopy procedures by significantly improving the detection of adenomas, which are colon polyps with the potential to become cancerous. Research indicates that AI reduces the likelihood of missing abnormal growths in the colon. By analyzing images instantly, it helps doctors identify polyps they might otherwise overlook. These advancements suggest that AI-powered endoscopy could be a powerful tool in diagnosing and preventing colon-related diseases. ^{5 6 7 8 9}

Are You a Good Fit for This Trial?

Inclusion Criteria

I am 18 years old or older.

I am scheduled for or have had an upper (EGD) or lower (colonoscopy) endoscopy.

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Endoscopy Procedure

Participants undergo endoscopy procedures for video/image library creation

1 day

1 visit (in-person)

Data Documentation and Analysis

Documentation of endoscopy findings and analysis for AI model development

Up to 14 days post-procedure

Follow-up

Participants are monitored for any immediate and late complications post-procedure

14 days

What Are the Treatments Tested in This Trial?

Who Is Running the Clinical Trial?

Centre hospitalier de l'Université de Montréal (CHUM)

Lead Sponsor

Trials

389

Recruited

143,000+

Citations

1. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov/articles/PMC7417492/

The role of artificial intelligence in colon polyps detection - PMC AI has shown to be highly effective in the field of gastroenterology in terms of diagnosis, prognosis, and image processing.

2. sciencedirect.com sciencedirect.com/science/article/pii/S0016508523047844

AGA Clinical Practice Update on the Role of Artificial ... AI detection of colorectal polyps was the first target for AI technology in gastroenterology and now a myriad of studies has reported the successful application ...

3. giejournal.org giejournal.org/article/S0016-5107(24)03471-0/fulltext

Use of artificial intelligence improves colonoscopy ... Conclusions. AI-assisted colonoscopy significantly improved adenoma detection but not sessile serrated lesion detection irrespective of endoscopist experience, ...

4. frontiersin.org frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2025.1571075/full

Detecting early gastrointestinal polyps in histology and ... Deep Learning is an advanced artificial intelligence method that promises improved diagnosis accuracy by detecting gastrointestinal polyps using a variety of ...

5. thelancet.com thelancet.com/journals/eclinm/article/PIIS2589-5370(23)00518-7/fulltext

Artificial intelligence for colorectal neoplasia detection ... AI-aided colonoscopy significantly enhanced the detection of colorectal neoplasia detection, likely by reducing the miss rate. However, future ...

6. medtronic.com medtronic.com/en-us/healthcare-professionals/products/digestive-gastrointestinal/gastrointestinal-artificial-intelligence/gi-genius-intelligent-endoscopy-module.html

GI Genius™ Intelligent Endoscopy Module The GI Genius™ intelligent endoscopy module is the first-to-market, computer-aided polyp detection system powered by artificial intelligence.

7. gastrojournal.org gastrojournal.org/article/S0016-5085(23)04784-4/fulltext

AGA Clinical Practice Update on the Role of Artificial ... CADe is designed to help the endoscopist detect polyps during colonoscopy and CADx is intended to accurately predict polyp histology without the ...

8. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov/articles/PMC9932855/

Current and future implications of artificial intelligence ... - PMC In this review, we cover the available clinical evidence on AI applications in colonoscopy and offer an overview of future directions.

9. nature.com nature.com/articles/s41598-022-17502-7

Edge artificial intelligence wireless video capsule endoscopy We designed an artificial intelligence (AI)-empowered wireless video endoscopic capsule that surpasses the performance of the existing solutions.