Comparison of Artificial Intelligence With Other Interventions to Improve Adenoma Detection Rate for Colonoscopy
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Title
Comparison of Artificial Intelligence With Other Interventions to Improve Adenoma Detection Rate for Colonoscopy
Authors
Keywords
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Journal
JOURNAL OF CLINICAL GASTROENTEROLOGY
Volume Publish Ahead of Print, Issue -, Pages -
Publisher
Ovid Technologies (Wolters Kluwer Health)
Online
2022-11-29
DOI
10.1097/mcg.0000000000001813
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Note: Only part of the references are listed.- ACG Clinical Guidelines: Colorectal Cancer Screening 2021
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- (2019) Muhammad Aziz et al. GASTROINTESTINAL ENDOSCOPY
- New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection
- (2019) Cesare Hassan et al. GUT
- Compared Abilities of Endoscopic Techniques to Increase Colon Adenoma Detection Rates: A Network Meta-analysis
- (2018) Antonio Facciorusso et al. Clinical Gastroenterology and Hepatology
- Ranking treatments in frequentist network meta-analysis works without resampling methods
- (2015) Gerta Rücker et al. BMC Medical Research Methodology
- Adenoma Detection Rate and Risk of Colorectal Cancer and Death
- (2014) Douglas A. Corley et al. NEW ENGLAND JOURNAL OF MEDICINE
- Differences in Detection Rates of Adenomas and Serrated Polyps in Screening Versus Surveillance Colonoscopies, Based on the New Hampshire Colonoscopy Registry
- (2013) Joseph C. Anderson et al. Clinical Gastroenterology and Hepatology
- Improving measurement of the adenoma detection rate and adenoma per colonoscopy quality metric: the Indiana University experience
- (2013) Charles J. Kahi et al. GASTROINTESTINAL ENDOSCOPY
- Role of the Serrated Pathway in Colorectal Cancer Pathogenesis
- (2010) Barbara Leggett et al. GASTROENTEROLOGY
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