• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

Readiness for mammography and artificial intelligence.

作者信息

Lehman Constance D, Topol Eric J

机构信息

Mass General Brigham, Harvard Medical School, Radiology, Boston, MA 02114, USA.

Scripps Research Translational Institute, Scripps Research La Jolla, CA, USA.

出版信息

Lancet. 2021 Nov 20;398(10314):1867. doi: 10.1016/S0140-6736(21)02484-3.

DOI:10.1016/S0140-6736(21)02484-3
PMID:34801097
Abstract
摘要

相似文献

1
Readiness for mammography and artificial intelligence.乳腺钼靶检查与人工智能的准备情况
Lancet. 2021 Nov 20;398(10314):1867. doi: 10.1016/S0140-6736(21)02484-3.
2
Comparative Performance of Artificial Intelligence Algorithms for Screening Mammography.用于乳腺钼靶筛查的人工智能算法的比较性能
Radiol Imaging Cancer. 2020 Nov 27;2(6):e209034. doi: 10.1148/rycan.2020209034. eCollection 2020 Nov.
3
The Path to Implementation of Artificial Intelligence in Screening Mammography Is Not All That Clear.在乳腺钼靶筛查中实施人工智能的道路并非那么清晰。
JAMA Netw Open. 2020 Mar 2;3(3):e200282. doi: 10.1001/jamanetworkopen.2020.0282.
4
Artificial Intelligence Improves Breast Cancer Screening in Study.研究表明人工智能可改善乳腺癌筛查
JAMA. 2020 Feb 11;323(6):499. doi: 10.1001/jama.2020.0370.
5
Artificial intelligence for breast cancer screening: Opportunity or hype?人工智能在乳腺癌筛查中的应用：机会还是炒作？
Breast. 2017 Dec;36:31-33. doi: 10.1016/j.breast.2017.09.003. Epub 2017 Sep 20.
6
Artificial Intelligence to Support Independent Assessment of Screening Mammograms-The Time Has Come.人工智能助力乳腺钼靶筛查独立评估——时机已至。
JAMA Oncol. 2020 Oct 1;6(10):1588-1589. doi: 10.1001/jamaoncol.2020.3186.
7
A review of computer aided detection in mammography.乳腺钼靶摄影中计算机辅助检测的综述。
Clin Imaging. 2018 Nov-Dec;52:305-309. doi: 10.1016/j.clinimag.2018.08.014. Epub 2018 Sep 7.
8
[Artificial intelligence for cancer detection in breast cancer screening].[用于乳腺癌筛查中癌症检测的人工智能]
Ugeskr Laeger. 2020 Aug 17;182(34).
9
Beyond the : "External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms".超越《用于乳腺钼靶筛查独立评估的3种商用人工智能算法的外部评估》：
AJR Am J Roentgenol. 2021 Jun;216(6):1436. doi: 10.2214/AJR.20.25196. Epub 2020 Dec 9.
10
Advancing Artificial Intelligence to Meet Breast Imaging Needs.推进人工智能以满足乳腺成像需求。
Radiology. 2022 Apr;303(1):78-79. doi: 10.1148/radiol.213101. Epub 2022 Jan 18.

引用本文的文献

1
Exploring the Efficacy of Artificial Intelligence-Based Computer-Aided Detection for Breast Cancer Detection on Digital Mammograms.探索基于人工智能的计算机辅助检测在数字乳腺X线摄影中检测乳腺癌的效能。
J Korean Soc Radiol. 2025 May;86(3):391-406. doi: 10.3348/jksr.2024.0061. Epub 2025 May 28.
2
Artificial Intelligence (AI)-Based Computer-Assisted Detection and Diagnosis for Mammography: An Evidence-Based Review of Food and Drug Administration (FDA)-Cleared Tools for Screening Digital Breast Tomosynthesis (DBT).基于人工智能的乳腺钼靶计算机辅助检测与诊断：对美国食品药品监督管理局（FDA）批准的数字乳腺断层合成（DBT）筛查工具的循证综述
AI Precis Oncol. 2024 Aug 19;1(4):195-206. doi: 10.1089/aipo.2024.0022. eCollection 2024 Aug.
3
Deep learning performance for detection and classification of microcalcifications on mammography.
深度学习在乳腺 X 线摄影微钙化检测和分类中的性能。
Eur Radiol Exp. 2023 Nov 7;7(1):69. doi: 10.1186/s41747-023-00384-3.
4
The Potential of GPT-4 as an AI-Powered Virtual Assistant for Surgeons Specialized in Joint Arthroplasty.GPT-4 作为一种人工智能驱动的关节置换手术医师虚拟助手的潜力。
Ann Biomed Eng. 2023 Jul;51(7):1366-1370. doi: 10.1007/s10439-023-03207-z. Epub 2023 Apr 18.
5
Invasive Lobular Carcinoma: A Review of Imaging Modalities with Special Focus on Pathology Concordance.浸润性小叶癌：影像学检查方法综述，特别关注病理一致性
Healthcare (Basel). 2023 Mar 3;11(5):746. doi: 10.3390/healthcare11050746.
6
Towards precision medicine based on a continuous deep learning optimization and ensemble approach.迈向基于持续深度学习优化与集成方法的精准医学。
NPJ Digit Med. 2023 Feb 3;6(1):18. doi: 10.1038/s41746-023-00759-1.
7
Women's perceptions and attitudes to the use of AI in breast cancer screening: a survey in a cancer referral centre.女性对人工智能在乳腺癌筛查中应用的认知和态度：癌症转诊中心的一项调查。
Br J Radiol. 2023 Jan 1;96(1141):20220569. doi: 10.1259/bjr.20220569. Epub 2022 Nov 15.
8
Retrospective Review of Missed Cancer Detection and Its Mammography Findings with Artificial-Intelligence-Based, Computer-Aided Diagnosis.基于人工智能的计算机辅助诊断对漏诊癌症及其乳腺X线摄影表现的回顾性研究
Diagnostics (Basel). 2022 Feb 2;12(2):387. doi: 10.3390/diagnostics12020387.