May the force be with you: will artificial intelligence take over traditional endoscopy?

Affiliations

Editorial

Torsten Beyna. Endoscopy. 2021 May.

. 2021 May;53(5):499-500.

doi: 10.1055/a-1313-7499. Epub 2021 Apr 22.

¹ Department of Gastroenterology and Therapeutic Endoscopy, Evangelisches Krankenhaus Düsseldorf, Düsseldorf, Germany.

No abstract available

Conflict of interest statement

T. Beyna received consultancy honoraria from Olympus, Boston Scientific, Medtronic, Microtech and ERBE.

Intelligent difficulty scoring and assistance system for endoscopic extraction of common bile duct stones based on deep learning: multicenter study.
Huang L, Lu X, Huang X, Zou X, Wu L, Zhou Z, Wu D, Tang D, Chen D, Wan X, Zhu Z, Deng T, Shen L, Liu J, Zhu Y, Gong D, Chen D, Zhong Y, Liu F, Yu H. Huang L, et al. Endoscopy. 2021 May;53(5):491-498. doi: 10.1055/a-1244-5698. Epub 2020 Nov 9. Endoscopy. 2021. PMID: 32838430