Impact of real-time use of artificial intelligence in improving adenoma detection during colonoscopy: A systematic review and meta-analysis
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Impact of real-time use of artificial intelligence in improving adenoma detection during colonoscopy: A systematic review and meta-analysis ; volume:09 ; number:04 ; year:2021 ; pages:E513-E521
Endoscopy International Open ; 09, Heft 04 (2021), E513-E521
- Beteiligte Personen und Organisationen
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Ashat, Munish
Klair, Jagpal Singh
Singh, Dhruv
Murali, Arvind Rangarajan
Krishnamoorthi, Rajesh
- DOI
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10.1055/a-1341-0457
- URN
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urn:nbn:de:101:1-2021052514260359943946
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:46 MESZ
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Beteiligte
- Ashat, Munish
- Klair, Jagpal Singh
- Singh, Dhruv
- Murali, Arvind Rangarajan
- Krishnamoorthi, Rajesh
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Effectiveness of artificial intelligence in improving colonoscopy quality
COST-EFFECTIVENESS ANALYSIS OF ARTIFICIAL INTELLIGENCE-AIDED COLONOSCOPY FOR ADENOMA DETECTION AND CHARACTERISATION IN SPAIN
Adenomas per colonoscopy and adenoma per positive participant as quality indicators for screening colonoscopy
Real-time, computer-aided, detection-assisted colonoscopy eliminates differences in adenoma detection rate between trainee and experienced endoscopists
Individualized feedback on colonoscopy skills improves group colonoscopy quality in providers with lower adenoma detection rates
Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy—A Network Analysis
Correction: Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy—A Network Analysis
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COST-EFFECTIVENESS ANALYSIS OF ARTIFICIAL INTELLIGENCE-AIDED COLONOSCOPY FOR ADENOMA DETECTION AND CHARACTERISATION IN SPAIN
Adenomas per colonoscopy and adenoma per positive participant as quality indicators for screening colonoscopy
Real-time, computer-aided, detection-assisted colonoscopy eliminates differences in adenoma detection rate between trainee and experienced endoscopists
Individualized feedback on colonoscopy skills improves group colonoscopy quality in providers with lower adenoma detection rates
Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy—A Network Analysis
Correction: Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy—A Network Analysis
Retrospective Comparison of Balloon-Colonoscopy with Standard Colonoscopy for Increased Adenoma Detection Rate and Reduced Polyp Removal Time
Establishment and validation of an artificial intelligence-based model for real-time detection and classification of colorectal adenoma
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Current status and limitations of artificial intelligence in colonoscopy
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COST-EFFECTIVENESS ANALYSIS OF ARTIFICIAL INTELLIGENCE-AIDED COLONOSCOPY FOR ADENOMA DETECTION AND CHARACTERISATION IN SPAIN
Adenomas per colonoscopy and adenoma per positive participant as quality indicators for screening colonoscopy
Real-time, computer-aided, detection-assisted colonoscopy eliminates differences in adenoma detection rate between trainee and experienced endoscopists
Individualized feedback on colonoscopy skills improves group colonoscopy quality in providers with lower adenoma detection rates
Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy—A Network Analysis
Correction: Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy—A Network Analysis
Retrospective Comparison of Balloon-Colonoscopy with Standard Colonoscopy for Increased Adenoma Detection Rate and Reduced Polyp Removal Time
Establishment and validation of an artificial intelligence-based model for real-time detection and classification of colorectal adenoma
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