Performance of artificial intelligence for colonoscopy regarding adenoma and polyp detection: a meta-analysis

One fourth of colorectal neoplasia is missed at screening colonoscopy, representing the main cause of interval colorectal cancer (CRC). Deep learning systems with real-time computer-aided polyp detection (CADe) showed high accuracy in artificial settings, and preliminary randomized clinical trials (RCT) reported favourable outcomes in clinical setting. Aim of this meta-analysis was to summarise available RCTs on the performance of CADe systems in colorectal neoplasia detection.

Source: Gastrointestinal Endoscopy - June 25, 2020 Category: Gastroenterology Authors: Cesare Hassan, Marco Spadaccini, Andrea Iannone, Roberta Maselli, Manol Jovani, Viveksandeep Thoguluva Chandrasekar, Giulio Antonelli, Honggang Yu, Miguel Areia, Mario Dinis-Ribeiro, Pradeep Bhandari, Prateek Sharma, Douglas K. Rex, Thomas R ösch, Michae Source Type: research