2022
DOI: 10.1002/ueg2.12354
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Real‐time use of artificial intelligence (CADEYE) in colorectal cancer surveillance of patients with Lynch syndrome—A randomized controlled pilot trial (CADLY)

Abstract: Background Lynch syndrome (LS), an autosomal dominant disorder caused by pathogenic germline variants in DNA mismatch repair (MMR) genes, represents the most common hereditary colorectal cancer (CRC) syndrome. Lynch syndrome patients are at high risk of CRC despite regular endoscopic surveillance. Objective Our aim was to investigate the diagnostic performance of artificial intelligence (AI)‐assisted colonoscopy in comparison to High‐Definition white‐light endoscopy (HD‐WLE) for the first time. Methods Patient… Show more

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Cited by 16 publications
(8 citation statements)
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“…More recent and sophisticated colonoscopy techniques may detect smaller adenomas and/or adenomas with different morphological patterns. Staining/chromoendscopy might visualise dMMR crypts and guided or unguided machine learning (arti cial intelligence) may provide new ways of interpreting digitalized colonoscopy images [40,41]. The effects of these advances may be a longer mean sojourn time which could increase the probability of colonoscopy preventing CRC.…”
Section: Discussionmentioning
confidence: 99%
“…More recent and sophisticated colonoscopy techniques may detect smaller adenomas and/or adenomas with different morphological patterns. Staining/chromoendscopy might visualise dMMR crypts and guided or unguided machine learning (arti cial intelligence) may provide new ways of interpreting digitalized colonoscopy images [40,41]. The effects of these advances may be a longer mean sojourn time which could increase the probability of colonoscopy preventing CRC.…”
Section: Discussionmentioning
confidence: 99%
“…More recent and sophisticated colonoscopy techniques may detect smaller adenomas and/or adenomas with different morphological patterns. Staining/chromoendscopy might visualise dMMR crypts and guided or unguided machine learning (artificial intelligence) may provide new ways of interpreting digitalized colonoscopy images [ 40 , 41 ]. The effects of these advances may be a longer mean sojourn time which could increase the probability of colonoscopy preventing CRC.…”
Section: Discussionmentioning
confidence: 99%
“…5 On the other hand, the CADEYE study, a pilot randomized trial, revealed real-time AI-assisted colonoscopy as a promising tool to optimize endoscopic surveillance in Lynch Syndrome patients compared to conventional colonoscopy, with similar examination times and higher detection rates of flat adenomas. 3 As recently stated by the World Health Organization, AI has the potential to "enhance health outcomes by strengthening clinical trials, improving medical diagnosis, treatment, self-care and patientcentred care, and supplementing health care professionals' knowledge, skills and competencies". We, as the UEG Journal community, are strongly involved in contributing to reporting evidence on this promising tool.…”
Section: Reflecting On 2023mentioning
confidence: 99%