Suppr超能文献

Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging.

作者信息

Vergara Daniel, Armato Samuel G, Hadjiiski Lubomir, Drukker Karen

机构信息

Department of Radiology, University of Washington, Seattle, Washington; Member of American Association of Physicists in Medicine Computer-Aided Image Analysis Subcommittee and Task Group 273.

Department of Radiology, The University of Chicago, Chicago, Illinois; Committee on Medical Physics Chair; Graduate Program in Medical Physics Director; Human Imaging Research Office Faculty Director; Associate Director for Education, University of Chicago Comprehensive Cancer Center; Treasurer, American Association of Physicists in Medicine; Vice Chair, American Association of Physicists in Medicine Computer-Aided Image Analysis Subcommittee and Task Group 273; Member of American Association of Physicists in Medicine Medical Imaging and Data Resource Center Subcommittee; and Member of International Society for Optics and Photonics (SPIE).

出版信息

J Am Coll Radiol. 2024 Feb;21(2):341-343. doi: 10.1016/j.jacr.2023.10.021. Epub 2023 Nov 2.

DOI:10.1016/j.jacr.2023.10.021
PMID:37925095
Abstract
摘要

相似文献

1
Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging.
J Am Coll Radiol. 2024 Feb;21(2):341-343. doi: 10.1016/j.jacr.2023.10.021. Epub 2023 Nov 2.
2
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
Med Phys. 2023 Feb;50(2):e1-e24. doi: 10.1002/mp.16188. Epub 2023 Jan 6.
3
AI-based computer-aided diagnosis (AI-CAD): the latest review to read first.
Radiol Phys Technol. 2020 Mar;13(1):6-19. doi: 10.1007/s12194-019-00552-4. Epub 2020 Jan 2.
4
Adoption of New Technologies: Artificial Intelligence.
Gastrointest Endosc Clin N Am. 2021 Oct;31(4):743-758. doi: 10.1016/j.giec.2021.05.010. Epub 2021 Jul 20.
5
[Role of artificial intelligence in the diagnosis and treatment of gastrointestinal diseases].
Zhonghua Wei Chang Wai Ke Za Zhi. 2020 Jan 25;23(1):33-37. doi: 10.3760/cma.j.issn.1671-0274.2020.01.006.
6
Artificial intelligence in computer-aided diagnosis of abdomen diseases.
Sci China Life Sci. 2019 Oct;62(10):1396-1399. doi: 10.1007/s11427-019-1556-7. Epub 2019 Sep 27.
7
New Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence.
AJR Am J Roentgenol. 2019 Feb;212(2):300-307. doi: 10.2214/AJR.18.20392.
8
[Artificial intelligence and machine learning in oncologic imaging].
Pathologe. 2020 Nov;41(6):649-658. doi: 10.1007/s00292-020-00827-3.
9
Computer-aided Diagnosis of Melanoma: A Review of Existing Knowledge and Strategies.
Curr Med Imaging. 2020;16(7):835-854. doi: 10.2174/1573405615666191210104141.
10
Artificial intelligence in medical imaging.
Magn Reson Imaging. 2020 May;68:A1-A4. doi: 10.1016/j.mri.2019.12.006. Epub 2019 Dec 16.

引用本文的文献

1
The QIBA Profile for Diffusion-Weighted MRI: Apparent Diffusion Coefficient as a Quantitative Imaging Biomarker.
Radiology. 2024 Oct;313(1):e233055. doi: 10.1148/radiol.233055.

文献AI研究员

20分钟写一篇综述，助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型，支持多种主流文档格式。

立即体验