Predicting Adenomatous Polyps in the Colon Using Images of a Human Tongue
NCT06305364 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 426
Last updated 2025-02-20
Summary
This is a prospective, multicenter, single-arm clinical investigation designed to evaluate the accuracy of the Gixam™ System in identifying subjects with colorectal adenomas compared to optical colonoscopy. Subjects arriving for a standard of care colonoscopy at the investigation site will be offered to participate in the study. Following an informed consent process, images of the subjects' tongue will be obtained with the Gixam™ System and a prediction score will be generated by the Gixam™ AI model. Subjects will thereafter proceed to their SOC colonoscopy, and the Gixam™ score will be compare with colonoscopy findings to evaluate its performance.
Conditions
- Colorectal Neoplasms
- Gastrointestinal Microbiome
Interventions
- DEVICE
-
Gixam
Participants will be required to extend their tongue in the Gixam device. Six images will be obtained and analyzed by the artificial intelligence (AI) model generating a prediction score for the presence of colorectal adenoma.
Sponsors & Collaborators
-
Jubaan Ltd.
lead INDUSTRY
Principal Investigators
-
Daniella Bleistein · Jubaan Ltd.
Study Design
- Allocation
- NA
- Purpose
- SCREENING
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Max Age
- 75 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2023-08-01
- Primary Completion
- 2024-12-31
- Completion
- 2024-12-31
- FDA Device
- Yes
Countries
- United States
Study Locations
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