Graphical Abstracts
Automated artificial intelligence scoring systems for the endoscopic assessment of ulcerative colitis: How far are we from clinical application?
Artificial intelligence (AI) is going to drastically change our approach to diagnostic endoscopy. In contrast to its human counterpart, AI can manage an exceptional amount of data simultaneously, does not get fatigued, and can be highly effective and efficient. In the past couple of years, we have witnessed a literal blossom of AI systems applied to digestive endoscopy. Industries have been leading this first part of AI application, with the launch of real-time automated polyp detection and characterization systems to screening colonoscopy.Computer-aided characterization of early cancer in Barrett’s esophagus on i-scan magnification imaging: a multicenter international study
We aimed to develop a computer-aided characterization system that could support the diagnosis of dysplasia in Barrett’s esophagus (BE) on magnification endoscopy.Development and validation of artificial neural networks model for detection of Barrett’s neoplasia: a multicenter pragmatic nonrandomized trial (with video)
The aim of this study was to develop and externally validate a computer-aided detection (CAD) system for the detection and localization of Barrett’s neoplasia and assess its performance compared with that of general endoscopists in a statistically powered multicenter study by using real-time video sequences.Novel “resect and analysis” approach for T2 colorectal cancer with use of artificial intelligence
Because of a lack of reliable preoperative prediction of lymph node involvement in early-stage T2 colorectal cancer (CRC), surgical resection is the current standard treatment. This leads to overtreatment because only 25% of T2 CRC patients turn out to have lymph node metastasis (LNM). We assessed a novel artificial intelligence (AI) system to predict LNM in T2 CRC to ascertain patients who can be safely treated with less-invasive endoscopic resection such as endoscopic full-thickness resection and do not need surgery.
