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The pooled data showed a statistically significant improvement for most systems, and the UK NAIAD study added real-world NHS evidence for one of them. In guidance published on 19 March 2026, the committee concluded that using the AI technologies improves the adenoma detection rate overall. It allowed six systems in the NHS while more evidence is collected: CADDIE, CAD EYE, ENDO-AID, EndoScreener, GI Genius and MAGENTIQ-COLO. The gains were largest for small, non-advanced adenomas. For advanced adenomas and sessile serrated lesions the improvement was not statistically significant for any system, so NICE judged it uncertain whether the higher detection rate will lower colorectal cancer rates. Three systems with fewer trials showed no significant gain. NICE asked for more research on them and on ENDOANGEL, whose cost effectiveness could not be estimated.","category":"general benefit","unexpected":false,"purpose":"The systems were built to help endoscopists find polyps during colonoscopy. 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Artificial intelligence (AI) technologies to help detect or characterise colorectal polyps. HealthTech guidance HTG773, section 3: Committee discussion. 19 March 2026.","title":"Artificial intelligence (AI) technologies to help detect or characterise colorectal polyps: committee discussion","url":"https://www.nice.org.uk/guidance/htg773/chapter/3-Committee-discussion","date":"2026-03-19","written_by":"independent","quote":"The committee concluded that using the AI technologies improves ADR overall."},{"kind":"regulatory document","citation":"National Institute for Health and Care Excellence. Artificial intelligence (AI) technologies to help detect or characterise colorectal polyps. 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