Quality indicators in endoscopic screening and the role of artificial intelligence
Author:
Affiliation:
1. Department of Hepato‐Biliary‐Pancreatic Medicine Cancer Institute Hospital, Japanese Foundation for Cancer Research Tokyo Japan
2. Department of Gastroenterology Cancer Institute Hospital, Japanese Foundation for Cancer Research Tokyo Japan
Publisher
Wiley
Subject
Gastroenterology,Radiology, Nuclear Medicine and imaging
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/den.14701
Reference10 articles.
1. Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
2. Current status of quality control in screening esophagogastroduodenoscopy and the emerging role of artificial intelligence
3. Clinical and Endoscopic Characteristics Associated With Post-Endoscopy Upper Gastrointestinal Cancers: A Systematic Review and Meta-analysis
4. Prevalence and risk factors of upper gastrointestinal cancers missed during endoscopy: a nationwide registry-based study
5. Longer Observation Time Increases Proportion of Neoplasms Detected by Esophagogastroduodenoscopy
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1. Transforming Hospital Quality Improvement Through Harnessing the Power of Artificial Intelligence;Global Journal on Quality and Safety in Healthcare;2024-08-01
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