Endoskopie – was haben wir zuletzt an klinisch Relevantem dazu gelernt?
Author:
Publisher
Springer Science and Business Media LLC
Subject
Gastroenterology,Hepatology
Link
https://link.springer.com/content/pdf/10.1007/s41971-023-00145-4.pdf
Reference23 articles.
1. Repici A et al (2020) Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial. Gastroenterology 159(2):512–520.e7. https://doi.org/10.1053/j.gastro.2020.04.062
2. Hashimoto R et al (2020) Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett’s esophagus (with video). Gastrointest Endosc 91(6):1264–1271.e1. https://doi.org/10.1016/j.gie.2019.12.049
3. Saito H et al (2020) Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network. Gastrointest Endosc 92(1):144–151.e1. https://doi.org/10.1016/j.gie.2020.01.054
4. de Benito Sanz M et al (2022) Efficacy and safety of cold versus hot snare polypectomy for small (5–9 mm) colorectal polyps: a multicenter randomized controlled trial. Endoscopy 54(1):35–44. https://doi.org/10.1055/a-1327-8357
5. Mehta D et al (2022) Cold versus hot endoscopic mucosal resection for large sessile colon polyps: a cost-effectiveness analysis. Endoscopy 54(4):367–375. https://doi.org/10.1055/a-1469-2644
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