Artificial intelligence in endoscopy: transition from academic development to integration into daily endoscopic practice
Author:
Affiliation:
1. Department of Gastroenterology and Hepatology, Amsterdam UMC, Amsterdam, The Netherlands
Publisher
Georg Thieme Verlag KG
Subject
Gastroenterology
Link
http://www.thieme-connect.de/products/ejournals/pdf/10.1055/a-1784-1772.pdf
Reference4 articles.
1. Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study;D Gong;Lancet Gastroenterol Hepatol,2020
2. Real-time use of artificial intelligence for diagnosing early gastric cancer by magnifying image-enhanced endoscopy: a multicenter, diagnostic study (with videos);X He;Gastrointest Endosc,2021
3. Artificial intelligence in gastric cancer: a systematic review;P Jin;J Cancer Res Clin Oncol,2020
4. Artificial intelligence versus expert endoscopists for diagnosis of gastric cancer in patients who have undergone upper gastrointestinal endoscopy;R Niikura;Endoscopy,2022
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