Artificial intelligence in endoscopy: transition from academic development to integration into daily endoscopic practice

Endoscopy 2022; 54(08): 785-786
DOI: 10.1055/a-1784-1772

Editorial

Referring to Niikura R et al. p. 780–784

A. Jeroen de Groof

¹Department of Gastroenterology and Hepatology, Amsterdam UMC, Amsterdam, The Netherlands

References
1 Gong D, Wu L, Zhang J. et al. Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study. Lancet Gastroenterol Hepatol 2020; 5: 352-361
2 He X, Wu L, Dong Z. et al. Real-time use of artificial intelligence for diagnosing early gastric cancer by magnifying image-enhanced endoscopy: a multicenter, diagnostic study (with videos). Gastrointest Endosc 2021;
3 Jin P, Ji X, Kang W. et al. Artificial intelligence in gastric cancer: a systematic review. J Cancer Res Clin Oncol 2020; 146: 2339-2350
4 Niikura R, Aoki T, Shichijo S. et al. Artificial intelligence versus expert endoscopists for diagnosis of gastric cancer in patients who have undergone upper gastrointestinal endoscopy. Endoscopy 2022; 54: 780-784