Health Technology/clinical-trials

Completed Trial: AI-Assisted Colonoscopy Plus Endocuff Device Shows Promise for Enhanced Adenoma Detection

247 Health News Editorial

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24 Apr 2026

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3 min read

·clinical-trials

A completed 1,726-patient trial investigated whether combining AI-assisted colonoscopy with mucosal exposure devices improves adenoma detection rates. Results could reshape colonoscopy quality standards and technology adoption in colorectal cancer screening programs.

Originally reported by ClinicalTrials.gov

References

  1. 1.Aziz, M., Fatima, R., Dong, C., Lee-Smith, W., & Nawras, A. (2020). The impact of deep convolutional neural network-based artificial intelligence on colonoscopy outcomes: a systematic review with meta-analysis. Journal of Gastroenterology and Hepatology, 35(9), 1676-1683. https://doi.org/10.1111/jgh.14777
  2. 2.Chinese University of Hong Kong. (2024). Combination of Artificial Intelligence (ENDOAID) and Mucosal Exposure Device (ENDOCUFF) to Enhance Colorectal Neoplasia Detection: a Randomized Controlled Trial. ClinicalTrials.gov. NCT05414448. https://clinicaltrials.gov/study/NCT05414448
  3. 3.Corley, D. A., Jensen, C. D., Marks, A. R., Zhao, W. K., Lee, J. K., Doubeni, C. A., Zauber, A. G., de Boer, J., Fireman, B. H., Schottinger, J. E., Quinn, V. P., Ghai, N. R., Levin, T. R., & Quesenberry, C. P. (2014). Adenoma detection rate and risk of colorectal cancer and death. New England Journal of Medicine, 370(14), 1298-1306. https://doi.org/10.1056/NEJMoa1309086
  4. 4.Hassan, C., Spadaccini, M., Iannone, A., Maselli, R., Jovani, M., Chandrasekar, V. T., Antonelli, G., Yu, H., Areia, M., Dinis-Ribeiro, M., Bhandari, P., Sharma, P., Rex, D. K., & Repici, A. (2021). Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis. Gastrointestinal Endoscopy, 93(1), 77-85. https://doi.org/10.1016/j.gie.2020.06.059
  5. 5.Ngu, W. S., Bevan, R., Tsiamoulos, Z. P., Bassett, P., Hoare, J., Rutter, M. D., Clifford, G., Totton, N., Lee, M., Ramadas, A., Silcock, J., Painter, J., Nolan, D., Tripathi, D., Tam, W., Hancock, H., Dunckley, P., Thomas-Gibson, S., Saunders, B. P., & Rees, C. J. (2019). Improved adenoma detection with Endocuff Vision: the ADENOMA randomised controlled trial. Gut, 68(2), 280-288. https://doi.org/10.1136/gutjnl-2018-317010
  6. 6.van Rijn, J. C., Reitsma, J. B., Stoker, J., Bossuyt, P. M., van Deventer, S. J., & Dekker, E. (2006). Polyp miss rate determined by tandem colonoscopy: a systematic review. American Journal of Gastroenterology, 101(2), 343-350. https://doi.org/10.1111/j.1572-0241.2006.00390.x
  7. 7.Wang, P., Berzin, T. M., Glissen Brown, J. R., Bharadwaj, S., Becq, A., Xiao, X., Liu, P., Li, L., Song, Y., Zhang, D., Li, Y., Xu, G., Tu, M., & Liu, X. (2019). Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study. Gut, 68(10), 1813-1819. https://doi.org/10.1136/gutjnl-2018-317500
  8. 8.Williet, N., Tournier, Q., Vernet, C., Dumas, O., Rinaldi, L., Roblin, X., & Phelip, J. M. (2018). Effect of Endocuff-assisted colonoscopy on adenoma detection rate: meta-analysis of randomized controlled trials. Endoscopy, 50(9), 846-860. https://doi.org/10.1055/s-0043-125207
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