• 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

人工智能临床试验指南——SPIRIT-AI 和 CONSORT-AI。

Guidelines for clinical trials using artificial intelligence - SPIRIT-AI and CONSORT-AI.

机构信息

Leeds Teaching Hospitals NHS Trust, Leeds, UK.

University of Leeds, Leeds, UK.

出版信息

J Pathol. 2021 Jan;253(1):14-16. doi: 10.1002/path.5565. Epub 2020 Oct 31.

DOI:10.1002/path.5565
PMID:33016344
Abstract

The rapidly growing use of artificial intelligence in pathology presents a challenge in terms of study reporting and methodology. The existing guidelines for the design (SPIRIT) and reporting (CONSORT) of clinical trials have been extended with the aim of ensuring production of the highest quality evidence in this field. We explore these new guidelines and their relevance and application to pathology as a specialty. © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland.

摘要

人工智能在病理学中的应用迅速增长,这在研究报告和方法方面带来了挑战。现有的临床试验设计(SPIRIT)和报告(CONSORT)指南已经扩展,目的是确保在该领域产生最高质量的证据。我们探讨了这些新的指南及其与病理学作为一门专业的相关性和适用性。 2020 年,作者。病理学杂志由 John Wiley & Sons,Ltd. 代表英国和爱尔兰病理学会出版。

相似文献

1
Guidelines for clinical trials using artificial intelligence - SPIRIT-AI and CONSORT-AI.人工智能临床试验指南——SPIRIT-AI 和 CONSORT-AI。
J Pathol. 2021 Jan;253(1):14-16. doi: 10.1002/path.5565. Epub 2020 Oct 31.
2
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.临床试验报告报告指南涉及人工智能的干预措施:CONSORT-AI 扩展。
Nat Med. 2020 Sep;26(9):1364-1374. doi: 10.1038/s41591-020-1034-x. Epub 2020 Sep 9.
3
Reporting guidelines for clinical trials of artificial intelligence interventions: the SPIRIT-AI and CONSORT-AI guidelines.人工智能干预临床试验报告规范:SPIRIT-AI 和 CONSORT-AI 指南。
Trials. 2021 Jan 6;22(1):11. doi: 10.1186/s13063-020-04951-6.
4
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.涉及人工智能干预的临床试验报告的报告规范:CONSORT-AI 扩展。
Lancet Digit Health. 2020 Oct;2(10):e537-e548. doi: 10.1016/S2589-7500(20)30218-1. Epub 2020 Sep 9.
5
Raising the Bar for Randomized Trials Involving Artificial Intelligence: The SPIRIT-Artificial Intelligence and CONSORT-Artificial Intelligence Guidelines.提高涉及人工智能的随机试验的标准:SPIRIT-人工智能和 CONSORT-人工智能指南。
J Invest Dermatol. 2021 Sep;141(9):2109-2111. doi: 10.1016/j.jid.2021.02.744. Epub 2021 Mar 22.
6
Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines.人工智能干预随机对照试验与 CONSORT-AI 报告指南的一致性。
Nat Commun. 2024 Feb 22;15(1):1619. doi: 10.1038/s41467-024-45355-3.
7
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension.涉及人工智能干预的临床试验报告的报告指南:CONSORT-AI 扩展。
BMJ. 2020 Sep 9;370:m3164. doi: 10.1136/bmj.m3164.
8
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.涉及人工智能干预的临床试验方案指南:SPIRIT-AI 扩展。
Lancet Digit Health. 2020 Oct;2(10):e549-e560. doi: 10.1016/S2589-7500(20)30219-3. Epub 2020 Sep 9.
9
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.涉及人工智能干预的临床试验方案指南:SPIRIT-AI 扩展。
Nat Med. 2020 Sep;26(9):1351-1363. doi: 10.1038/s41591-020-1037-7. Epub 2020 Sep 9.
10
Adherence of randomised controlled trials using artificial intelligence in ophthalmology to CONSORT-AI guidelines: a systematic review and critical appraisal.人工智能在眼科随机对照试验中对 CONSORT-AI 指南的依从性:系统评价和批判性评估。
BMJ Health Care Inform. 2023 Jul;30(1). doi: 10.1136/bmjhci-2023-100757.

引用本文的文献

1
From data extraction to analysis: a comparative study of ELISE capabilities in scientific literature.从数据提取到分析:科学文献中ELISE功能的比较研究
Front Artif Intell. 2025 May 12;8:1587244. doi: 10.3389/frai.2025.1587244. eCollection 2025.
2
Digital pathology implementation in cancer diagnostics: towards informed decision-making.数字病理学在癌症诊断中的应用:迈向明智决策
Front Digit Health. 2024 May 30;6:1358305. doi: 10.3389/fdgth.2024.1358305. eCollection 2024.
3
Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation.
用于预后和诊断机器学习建模研究的综合报告指南:制定和验证。
J Med Internet Res. 2023 Aug 31;25:e48763. doi: 10.2196/48763.