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Computer-aided Detection of Polyps Does Not Improve Colonoscopist Performance in a Pragmatic Implementation Trial.

作者信息

Ladabaum Uri, Shepard John, Weng Yingjie, Desai Manisha, Singer Sara J, Mannalithara Ajitha

机构信息

Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, California.

Critical Care Quality and Strategic Initiatives, Stanford Health Care, Stanford, California.

出版信息

Gastroenterology. 2023 Mar;164(3):481-483.e6. doi: 10.1053/j.gastro.2022.12.004. Epub 2022 Dec 15.

DOI:10.1053/j.gastro.2022.12.004
PMID:36528131
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11521095/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/769e/11521095/86fe8814ea03/nihms-1988533-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/769e/11521095/86fe8814ea03/nihms-1988533-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/769e/11521095/86fe8814ea03/nihms-1988533-f0001.jpg

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本文引用的文献

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Artificial Intelligence-Aided Colonoscopy Does Not Increase Adenoma Detection Rate in Routine Clinical Practice.人工智能辅助结肠镜检查在常规临床实践中并未增加腺瘤检出率。
Am J Gastroenterol. 2022 Nov 1;117(11):1871-1873. doi: 10.14309/ajg.0000000000001970. Epub 2022 Aug 23.
2
Association of Physician Adenoma Detection Rates With Postcolonoscopy Colorectal Cancer.腺瘤检出率与结肠镜检查后结直肠癌的关系。
JAMA. 2022 Jun 7;327(21):2114-2122. doi: 10.1001/jama.2022.6644.
3
Impact of Artificial Intelligence on Miss Rate of Colorectal Neoplasia.人工智能对结直肠肿瘤漏诊率的影响。
Gastroenterology. 2022 Jul;163(1):295-304.e5. doi: 10.1053/j.gastro.2022.03.007. Epub 2022 Mar 15.
4
Artificial intelligence and colonoscopy experience: lessons from two randomised trials.人工智能与结肠镜检查经验:两项随机试验的教训。
Gut. 2022 Apr;71(4):757-765. doi: 10.1136/gutjnl-2021-324471. Epub 2021 Jun 29.
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Developing and Deploying an Automated Quality Reporting System in Your Practice: Learning From the Stanford Colonoscopy Quality Assurance Program.在您的医疗机构中开发和部署自动化质量报告系统:借鉴斯坦福结肠镜检查质量保证计划。
Am J Gastroenterol. 2021 Jul 1;116(7):1365-1370. doi: 10.14309/ajg.0000000000001265.
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Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method.确立人工智能在结肠镜检查中应用的关键研究问题:一项改良 Delphi 法研究。
Endoscopy. 2021 Sep;53(9):893-901. doi: 10.1055/a-1306-7590. Epub 2021 Jan 13.
7
Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial.实时计算机辅助检测在结直肠肿瘤随机试验中的疗效。
Gastroenterology. 2020 Aug;159(2):512-520.e7. doi: 10.1053/j.gastro.2020.04.062. Epub 2020 May 1.
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New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection.新型人工智能系统:与经验丰富的内镜医师在结直肠息肉检测方面的首次验证研究。
Gut. 2020 May;69(5):799-800. doi: 10.1136/gutjnl-2019-319914. Epub 2019 Oct 15.
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Designing Difference in Difference Studies: Best Practices for Public Health Policy Research.设计双重差分研究:公共卫生政策研究的最佳实践。
Annu Rev Public Health. 2018 Apr 1;39:453-469. doi: 10.1146/annurev-publhealth-040617-013507. Epub 2018 Jan 12.
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Making sense of implementation theories, models and frameworks.理解实施理论、模型和框架。
Implement Sci. 2015 Apr 21;10:53. doi: 10.1186/s13012-015-0242-0.