Effectiveness of artificial intelligence assisted colonoscopy on adenoma and polyp miss rate: A meta-analysis of tandem RCTs.

Journal: Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
PMID: 39322447

Abstract

BACKGROUND AND AIMS: One-fourth of colorectal neoplasia is missed at screening colonoscopy, representing the leading cause of interval colorectal cancer (I-CRC). This systematic review and meta-analysis summarizes the efficacy of computer-aided colonoscopy (CAC) compared to white-light colonoscopy (WLC) in reducing lesion miss rates.

Authors

  • M Maida
    Department of Medicine and Surgery, University of Enna 'Kore', Enna, Italy; Gastroenterology Unit, Umberto I Hospital, Enna, Italy. Electronic address: marcello.maida@unikore.it.
  • G Marasco
    Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy; IRCCS Azienda Ospedaliera Universitaria di Bologna, Bologna, Italy.
  • M H J Maas
    Department of Gastroenterology & Hepatology, Radboud University Medical Center, Nijmegen, the Netherlands.
  • D Ramai
    Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • M Spadaccini
    Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy; Endoscopy Unit, Humanitas Clinical and Research Hospital, IRCCS, Rozzano, Italy.
  • E Sinagra
    Gastroenterology Unit, Fondazione Istituto San Raffaele Giglio, Cefalù, Italy.
  • A Facciorusso
    Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
  • P D Siersema
    Department of Gastroenterology and Hepatology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • C Hassan
    IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, MI, Italy.

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