• 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

数字细胞学第 2 部分:细胞学中的人工智能:美国细胞病理学学会数字细胞学工作组的概念文件,附有评论和建议。

Digital cytology part 2: artificial intelligence in cytology: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force.

机构信息

Department of Pathology & Laboratory Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York.

The Wisconsin State Laboratory of Hygiene and Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin.

出版信息

J Am Soc Cytopathol. 2024 Mar-Apr;13(2):97-110. doi: 10.1016/j.jasc.2023.11.005. Epub 2023 Dec 3.

DOI:10.1016/j.jasc.2023.11.005
PMID:38158317
Abstract

Digital cytology and artificial intelligence (AI) are gaining greater adoption in the cytology laboratory. However, peer-reviewed real-world data and literature are lacking in regard to the current clinical landscape. The American Society of Cytopathology in conjunction with the International Academy of Cytology and the Digital Pathology Association established a special task force comprising 20 members with expertise and/or interest in digital cytology. The aim of the group was to investigate the feasibility of incorporating digital cytology, specifically cytology whole slide scanning and AI applications, into the workflow of the laboratory. In turn, the impact on cytopathologists, cytologists (cytotechnologists), and cytology departments were also assessed. The task force reviewed existing literature on digital cytology, conducted a worldwide survey, and held a virtual roundtable discussion on digital cytology and AI with multiple industry corporate representatives. This white paper, presented in 2 parts, summarizes the current state of digital cytology and AI practice in global cytology practice. Part 1 of the white paper is presented as a separate paper which details a review and best practice recommendations for incorporating digital cytology into practice. Part 2 of the white paper presented here provides a comprehensive review of AI in cytology practice along with best practice recommendations and legal considerations. Additionally, the cytology global survey results highlighting current AI practices by various laboratories, as well as current attitudes, are reported.

摘要

数字细胞学和人工智能(AI)在细胞学实验室中的应用越来越广泛。然而,关于当前临床现状的同行评审真实世界数据和文献仍然缺乏。美国细胞病理学学会与国际细胞学学会和数字病理学协会联合成立了一个特别工作组,由 20 名成员组成,他们在数字细胞学方面具有专业知识和/或兴趣,特别是细胞学全玻片扫描和 AI 应用。该小组的目的是研究将数字细胞学,特别是细胞学全玻片扫描和 AI 应用纳入实验室工作流程的可行性。反过来,也评估了对细胞病理学家、细胞学专家(细胞技术专家)和细胞学部门的影响。该工作组审查了数字细胞学的现有文献,进行了全球调查,并与多家行业企业代表就数字细胞学和 AI 进行了虚拟圆桌讨论。本白皮书分为两部分,总结了全球细胞学实践中数字细胞学和 AI 实践的现状。本白皮书的第 1 部分作为单独的论文呈现,详细介绍了将数字细胞学纳入实践的审查和最佳实践建议。本白皮书的第 2 部分全面回顾了细胞学实践中的人工智能,以及最佳实践建议和法律考虑因素。此外,还报告了细胞学全球调查结果,重点介绍了各个实验室目前的人工智能实践以及当前的态度。

相似文献

1
Digital cytology part 2: artificial intelligence in cytology: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force.数字细胞学第 2 部分:细胞学中的人工智能:美国细胞病理学学会数字细胞学工作组的概念文件,附有评论和建议。
J Am Soc Cytopathol. 2024 Mar-Apr;13(2):97-110. doi: 10.1016/j.jasc.2023.11.005. Epub 2023 Dec 3.
2
Digital cytology part 1: digital cytology implementation for practice: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force.数字细胞学第 1 部分:实践中的数字细胞学实施:美国细胞病理学学会数字细胞学工作组的概念文件,附有综述和建议。
J Am Soc Cytopathol. 2024 Mar-Apr;13(2):86-96. doi: 10.1016/j.jasc.2023.11.006. Epub 2023 Dec 3.
3
The current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force.当前数字细胞学和人工智能的现状:美国细胞病理学学会数字细胞学工作组的全球调查结果。
J Am Soc Cytopathol. 2024 Sep-Oct;13(5):319-328. doi: 10.1016/j.jasc.2024.04.003. Epub 2024 Apr 16.
4
Evaluating Urine Cytology Slide Digitization Efficiency: A Comparative Study Using an Artificial Intelligence-Based Heuristic Scanning Simulation and Multiple Z-Plane Scanning.评估尿液细胞学涂片数字化效率:基于人工智能启发式扫描模拟和多 Z 平面扫描的比较研究。
Acta Cytol. 2024;68(4):342-350. doi: 10.1159/000538985. Epub 2024 Apr 22.
5
The cytopathologist's role in developing and evaluating artificial intelligence in cytopathology practice.细胞病理学家在细胞病理学实践中开发和评估人工智能的作用。
Cytopathology. 2020 Sep;31(5):385-392. doi: 10.1111/cyt.12799. Epub 2020 Feb 27.
6
Challenges Developing Deep Learning Algorithms in Cytology.在细胞学中开发深度学习算法面临的挑战。
Acta Cytol. 2021;65(4):301-309. doi: 10.1159/000510991. Epub 2020 Nov 2.
7
Digital imagery/telecytology. International Academy of Cytology Task Force summary. Diagnostic Cytology Towards the 21st Century: An International Expert Conference and Tutorial.数字成像/远程细胞学。国际细胞学会特别工作组总结。迈向21世纪的诊断细胞学:一次国际专家会议及教程。
Acta Cytol. 1998 Jan-Feb;42(1):148-64. doi: 10.1159/000331540.
8
Evaluation of an artificial intelligence algorithm for assisting the Paris System in reporting urinary cytology: A pilot study.评估一种人工智能算法在协助巴黎系统报告尿细胞学中的应用:一项初步研究。
Cancer Cytopathol. 2022 Nov;130(11):872-880. doi: 10.1002/cncy.22615. Epub 2022 Jun 21.
9
Integrating cytology into routine digital pathology workflow: a 5-year journey.将细胞学纳入常规数字病理学工作流程:5 年历程。
Virchows Arch. 2023 Oct;483(4):555-559. doi: 10.1007/s00428-023-03547-0. Epub 2023 Apr 29.
10
Digital cytology: Current status and future prospects.数字细胞学:现状与展望。
Diagn Cytopathol. 2023 Mar;51(3):211-218. doi: 10.1002/dc.25099. Epub 2023 Jan 3.

引用本文的文献

1
AI in Cervical Cancer Cytology Diagnostics: A Narrative Review of Cutting-Edge Studies.人工智能在宫颈癌细胞学诊断中的应用:前沿研究的叙述性综述
Bioengineering (Basel). 2025 Jul 16;12(7):769. doi: 10.3390/bioengineering12070769.
2
Assessment of the efficacy and accuracy of cervical cytology screening with the Hologic Genius Digital Diagnostics System.使用Hologic Genius数字诊断系统评估宫颈细胞学筛查的有效性和准确性。
Cancer Cytopathol. 2025 Jul;133(7):e70022. doi: 10.1002/cncy.70022.
3
Implementing 100% quality control in a cervical cytology workflow using whole slide images and artificial intelligence provided by the Techcyte SureView™ System.
使用Techcyte SureView™系统提供的全玻片图像和人工智能,在宫颈细胞学工作流程中实施100%质量控制。
Cancer Cytopathol. 2025 Jun;133(6):e70019. doi: 10.1002/cncy.70019.
4
Surveying the Digital Cytology Workflow in Italy: An Initial Report on AI Integration Across Key Professional Roles.意大利数字细胞学工作流程调查:关于人工智能在关键专业角色中的整合的初步报告。
Healthcare (Basel). 2025 Apr 14;13(8):903. doi: 10.3390/healthcare13080903.
5
Toward Optimizing the Impact of Digital Pathology and Augmented Intelligence on Issues of Diagnosis, Grading, Staging, and Classification.迈向优化数字病理学和增强智能对诊断、分级、分期及分类问题的影响。
Mod Pathol. 2025 Jul;38(7):100765. doi: 10.1016/j.modpat.2025.100765. Epub 2025 Apr 8.
6
Digital transformation of pathology - the European Society of Pathology expert opinion paper.病理学的数字化转型——欧洲病理学会专家意见书
Virchows Arch. 2025 Mar 31. doi: 10.1007/s00428-025-04090-w.
7
Advancements in Digital Cytopathology Since COVID-19: Insights from a Narrative Review of Review Articles.自新冠疫情以来数字细胞病理学的进展:来自综述文章的叙述性综述见解
Healthcare (Basel). 2025 Mar 17;13(6):657. doi: 10.3390/healthcare13060657.
8
"Pathologists in Venice - Real World Cases for an Immersive Training Experience": Education, Gaming, and Show.《威尼斯的病理学家——沉浸式培训体验的真实案例》:教育、游戏与展示
J Pathol Inform. 2025 Feb 4;17:100418. doi: 10.1016/j.jpi.2024.100418. eCollection 2025 Apr.
9
Analysis of the sensitivity of high-grade squamous intraepithelial lesion Pap diagnosis and interobserver variability with the Hologic Genius Digital Diagnostics System.使用Hologic Genius数字诊断系统分析高级别鳞状上皮内病变巴氏诊断的敏感性及观察者间差异。
Cancer Cytopathol. 2025 Jan;133(1):e22918. doi: 10.1002/cncy.22918. Epub 2024 Nov 5.
10
Image Analysis in Histopathology and Cytopathology: From Early Days to Current Perspectives.组织病理学和细胞病理学中的图像分析:从早期到当前视角
J Imaging. 2024 Oct 14;10(10):252. doi: 10.3390/jimaging10100252.