• 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

Commentary: Automated Diagnosis and Gleason Grading of Prostate Cancer - Are Artificial Intelligence Systems Ready for Prime Time?

作者信息

Parwani Anil V

机构信息

Department of Pathology, The Ohio State University Wexner Medical Centre, Columbus, OH, USA.

出版信息

J Pathol Inform. 2019 Dec 23;10:41. doi: 10.4103/jpi.jpi_56_19. eCollection 2019.

DOI:10.4103/jpi.jpi_56_19
PMID:32089952
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7011461/
Abstract
摘要

相似文献

1
Commentary: Automated Diagnosis and Gleason Grading of Prostate Cancer - Are Artificial Intelligence Systems Ready for Prime Time?评论:前列腺癌的自动诊断与Gleason分级——人工智能系统准备好进入黄金时代了吗?
J Pathol Inform. 2019 Dec 23;10:41. doi: 10.4103/jpi.jpi_56_19. eCollection 2019.
2
Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps.人工智能在前列腺癌活检中的诊断和 Gleason 分级——现状与未来。
Eur Urol Focus. 2021 Jul;7(4):687-691. doi: 10.1016/j.euf.2021.07.002. Epub 2021 Aug 12.
3
An Artificial Intelligence-based Support Tool for Automation and Standardisation of Gleason Grading in Prostate Biopsies.基于人工智能的前列腺活检 Gleason 分级自动化和标准化支持工具。
Eur Urol Focus. 2021 Sep;7(5):995-1001. doi: 10.1016/j.euf.2020.11.001. Epub 2020 Dec 7.
4
Identification of areas of grading difficulties in prostate cancer and comparison with artificial intelligence assisted grading.识别前列腺癌分级困难区域,并与人工智能辅助分级进行比较。
Virchows Arch. 2020 Dec;477(6):777-786. doi: 10.1007/s00428-020-02858-w. Epub 2020 Jun 15.
5
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading.基于人工智能的Gleason分级预测前列腺癌特异性死亡率
Commun Med (Lond). 2021 Jun 30;1:10. doi: 10.1038/s43856-021-00005-3. eCollection 2021.
6
Narrative review of prostate cancer grading systems: will the Gleason scores be replaced by the Grade Groups?前列腺癌分级系统的叙述性综述:Gleason评分会被分级组取代吗?
Transl Androl Urol. 2021 Mar;10(3):1530-1540. doi: 10.21037/tau-20-853.
7
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study.人工智能在前列腺癌活检中的诊断和分级:一项基于人群的诊断研究。
Lancet Oncol. 2020 Feb;21(2):222-232. doi: 10.1016/S1470-2045(19)30738-7. Epub 2020 Jan 8.
8
Automated systems comparable to expert pathologists for prostate cancer Gleason grading.与专家病理学家相当的用于前列腺癌Gleason分级的自动化系统。
Nat Rev Urol. 2020 Mar;17(3):131. doi: 10.1038/s41585-020-0294-z.
9
An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study.一种用于经皮穿刺活检全切片图像中前列腺癌诊断的人工智能算法:一项盲法临床验证与应用研究。
Lancet Digit Health. 2020 Aug;2(8):e407-e416. doi: 10.1016/S2589-7500(20)30159-X.
10
Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study.利用活检进行前列腺癌 Gleason 分级的自动化深度学习系统:一项诊断研究。
Lancet Oncol. 2020 Feb;21(2):233-241. doi: 10.1016/S1470-2045(19)30739-9. Epub 2020 Jan 8.

引用本文的文献

1
Harnessing artificial intelligence for prostate cancer management.利用人工智能进行前列腺癌管理。
Cell Rep Med. 2024 Apr 16;5(4):101506. doi: 10.1016/j.xcrm.2024.101506. Epub 2024 Apr 8.
2
The key to an effective AI-powered digital pathology: Establishing a symbiotic workflow between pathologists and machine.有效利用人工智能的数字病理学的关键:在病理学家和机器之间建立共生工作流程。
J Pathol Inform. 2022 Nov 10;13:100156. doi: 10.1016/j.jpi.2022.100156. eCollection 2022.

本文引用的文献

1
Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association.计算病理学定义、最佳实践和监管指南建议:数字病理学协会白皮书。
J Pathol. 2019 Nov;249(3):286-294. doi: 10.1002/path.5331. Epub 2019 Sep 3.
2
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer.一种用于改善前列腺癌Gleason评分的深度学习算法的开发与验证
NPJ Digit Med. 2019 Jun 7;2:48. doi: 10.1038/s41746-019-0112-2. eCollection 2019.
3
Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies.深度学习在前列腺活检分级组确定中的自动 Gleason 模式分类中的应用。
Virchows Arch. 2019 Jul;475(1):77-83. doi: 10.1007/s00428-019-02577-x. Epub 2019 May 16.
4
Digital pathology and artificial intelligence.数字病理学与人工智能。
Lancet Oncol. 2019 May;20(5):e253-e261. doi: 10.1016/S1470-2045(19)30154-8.
5
Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association.全切片成像中的数字图像分析介绍:数字病理协会白皮书
J Pathol Inform. 2019 Mar 8;10:9. doi: 10.4103/jpi.jpi_82_18. eCollection 2019.
6
Comparison of Artificial Intelligence Techniques to Evaluate Performance of a Classifier for Automatic Grading of Prostate Cancer From Digitized Histopathologic Images.比较人工智能技术评估分类器在从数字化组织病理学图像自动分级前列腺癌方面的性能。
JAMA Netw Open. 2019 Mar 1;2(3):e190442. doi: 10.1001/jamanetworkopen.2019.0442.
7
Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts.基于多位专家的学习:数字化组织病理学图像中前列腺癌的自动分级。
Med Image Anal. 2018 Dec;50:167-180. doi: 10.1016/j.media.2018.09.005. Epub 2018 Sep 24.
8
A Practical Guide to Whole Slide Imaging: A White Paper From the Digital Pathology Association.全切片成像实用指南:数字病理学协会白皮书。
Arch Pathol Lab Med. 2019 Feb;143(2):222-234. doi: 10.5858/arpa.2018-0343-RA. Epub 2018 Oct 11.
9
Review of diagnostic error in anatomical pathology and the role and value of second opinions in error prevention.解剖病理学中诊断错误的回顾,以及第二意见在错误预防中的作用和价值。
J Clin Pathol. 2018 Nov;71(11):995-1000. doi: 10.1136/jclinpath-2018-205226. Epub 2018 Aug 1.
10
Grading of prostatic adenocarcinoma: current state and prognostic implications.前列腺腺癌的分级:现状及预后意义
Diagn Pathol. 2016 Mar 9;11:25. doi: 10.1186/s13000-016-0478-2.