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Intelligent-C Endoscopy Module for Real-time Detection of Colonic Lesions — iIDEAS/RTD  

Artificial Intelligence Clinical Trial

Official title:
iIDEAS Intelligent-C Endoscopy Module for Real-time Detection of Colonic Lesions - A Prospective, Single Blinded, Non - Randomized, Single - Center Study

Clinical Trial Summary

To conduct an single blinded, non-randomized, prospective, single center trial to validate the performance of a novel state-of-the-art Artificial Intelligence model (AI-Model) for colorectal lesion detection during routine diagnostic colonoscopy and to evaluate its feasibility in daily endoscopy. Consecutive patients referred for a screening, surveillance or diagnostic colonoscopy will be included

Clinical Trial Description

All procedures will be performed with high-definition endoscopes; Bowel preparation will be conducted according to usual local practices. During colonoscopy, the colonoscope will be first advanced to the cecum in all patients as confirmed by identification of the appendicular orifice and ileocecal valve or by intubation of the ileum, as per the standard of care by experienced endoscopists. During the insertion, no action will be taken. After cecal intubation is performed, the colonoscope will be slowly withdrawn to the splenic flexure by the primary endoscopists. Real time AI detection model will be activated with the output displayed in real time on a separate monitor and will be only viewed by an independent investigator, who is an experienced endoscopists (or a person trained in polyp recognition). The primary endoscopists will be blinded to the AI real time detection result All detected polyps will be removed or with biopsy taken during this examination and sent for histopathology examination. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05784935
Study type Observational
Source Asian Institute of Gastroenterology, India
Contact Hardik Rughwani, MD, DM
Phone 9426928600
Email hardik.hr@gmail.com
Status Not yet recruiting
Phase
Start date March 20, 2023
Completion date November 1, 2023
View Details
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