Artificial intelligence and colonoscopy experience: lessons from two randomised trials

• Published in: Gut Vol. 71; no. 4; pp. 757 - 765
• Main Authors: Repici, Alessandro, Spadaccini, Marco, Antonelli, Giulio, Correale, Loredana, Maselli, Roberta, Galtieri, Piera Alessia, Pellegatta, Gaia, Capogreco, Antonio, Milluzzo, Sebastian Manuel, Lollo, Gianluca, Di Paolo, Dhanai, Badalamenti, Matteo, Ferrara, Elisa, Fugazza, Alessandro, Carrara, Silvia, Anderloni, Andrea, Rondonotti, Emanuele, Amato, Arnaldo, De Gottardi, Andrea, Spada, Cristiano, Radaelli, Franco, Savevski, Victor, Wallace, Michael B, Sharma, Prateek, Rösch, Thomas, Hassan, Cesare
• Format: Journal Article
• Language: English
• Published: England BMJ Publishing Group Ltd and British Society of Gastroenterology 01.04.2022; BMJ Publishing Group LTD
• Subjects: Adenoma; Adenoma - diagnosis; Adenoma - pathology; Adult; Aged; Aged, 80 and over; Artificial Intelligence; Biopsy; Clinical trials; Cognition & reasoning; Colon; Colonic Polyps - diagnosis; Colonic Polyps - pathology; Colonoscopy; Colorectal cancer; Colorectal Neoplasms - diagnosis; Colorectal Neoplasms - pathology; Early Detection of Cancer; Endoscopy; Female; Humans; Intubation; Lesions; Male; Mass Screening; Middle Aged; Multivariate analysis; Patients; Polyps; screening; Skills; Tumors; Italy; screening; adenoma; artificial Intelligence; colorectal cancer; colonoscopy

Background and aimsArtificial intelligence has been shown to increase adenoma detection rate (ADR) as the main surrogate outcome parameter of colonoscopy quality. To which extent this effect may be related to physician experience is not known. We performed a randomised trial with colonoscopists in t...