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Surveillance for colorectal cancer (CRC) in patients predisposed to develop CRC during their lifetime has been impacted by access to colonoscopy suites and endoscopy specialists in the past couple of years. An alternative method, namely the colon capsule, has been proposed, however this investigation is time consuming for the clinician and the images require up to one hour (30-60 minutes) reading to issue a result. The investigators propose to obtain images from paired colonoscopies and colon capsules with the purpose of developing an AI algorithm which could aid the clinicians in reading the colon and expand access to this investigation. The main aim of the study is to determine whether it is possible to obtain usable paired images from patients with Lynch and other cancer predisposition syndromes. This will depend on the willingness of the patients to take part in the study and the te
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