Computer-aided detection versus advanced imaging for detection of colorectal neoplasia: a systematic review and network meta-analysis

• Published in: The lancet. Gastroenterology & hepatology Vol. 6; no. 10; p. 793
• Main Authors: Spadaccini, Marco, Iannone, Andrea, Maselli, Roberta, Badalamenti, Matteo, Desai, Madhav, Chandrasekar, Viveksandeep Thoguluva, Patel, Harsh K, Fugazza, Alessandro, Pellegatta, Gaia, Galtieri, Piera Alessia, Lollo, Gianluca, Carrara, Silvia, Anderloni, Andrea, Rex, Douglas K, Savevski, Victor, Wallace, Michael B, Bhandari, Pradeep, Roesch, Thomas, Gralnek, Ian M, Sharma, Prateek, Hassan, Cesare, Repici, Alessandro
• Format: Journal Article
• Language: English
• Published: Netherlands 01.10.2021
• Subjects: Adenoma - diagnosis; Adenoma - pathology; Artificial Intelligence; Colonoscopy - methods; Colorectal Neoplasms - diagnostic imaging; Colorectal Neoplasms - pathology; Diagnostic Imaging - statistics & numerical data; Diagnostic Imaging - trends; Endoscopy, Digestive System - methods; Female; Humans; Image Processing, Computer-Assisted - instrumentation; Image Processing, Computer-Assisted - statistics & numerical data; Male; Randomized Controlled Trials as Topic

Computer-aided detection (CADe) techniques based on artificial intelligence algorithms can assist endoscopists in detecting colorectal neoplasia. CADe has been associated with an increased adenoma detection rate, a key quality indicator, but the utility of CADe compared with existing advanced imagin...