Jubaan Ltd.

This is a prospective, single arm, multi-center clinical investigation aim to demonstrate the efficacy of Gixam in predicting the presence of premalignant colorectal polyps and colorectal cancer (CRC) in a fecal immunochemical test (FIT) positive population.

In the United States, colorectal cancer ranks second to lung cancer as a cause of cancer death and is the third most commonly occurring cancer in both men and women. Colorectal cancer in most cases develops slowly over a period of years, starting with the growth of precancerous polyps on the colon or rectum wall. The slow development of colorectal cancer makes it possible to detect and prevent it entirely by the removal of the precancerous polyps with colonoscopy. To date, there is no screening test, other than colonoscopy, able to detect the precancerous polyps. Gixam is a camera that takes multiple pictures of your tongue and uses artificial intelligence software to predict the presence of precancerous polyps within your colon or rectum that may eventually become cancerous.
The device creates the prediction by comparing the images taken of your tongue with many other images of tongues from healthy patients and patients with a history of precancerous polyps. Patients who have been predicted by Gixam to have precancerous polyps may be more likely to complete colonoscopy at the interval recommended by their physician, potentially reducing the likelihood of developing colorectal cancer.
The purpose of this research study is to test the accuracy of the Gixam device in persons that have received a negative outcome on a Fecal Immunochemical Test (FIT). This study will compare this prediction to the actual findings of your scheduled standard care colonoscopy and allow researchers to evaluate and improve the Gixam system.

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.