• 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

人工智能在临床化学中的应用。

Artificial Intelligence Applications in Clinical Chemistry.

机构信息

Department of Pathology and Laboratory Medicine, Nationwide Children's Hospital, 700 Children's Drive, C1923, Columbus, OH 43205-2644, USA; Department of Pathology, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.

Department of Laboratory Medicine, Yale School of Medicine, 55 Park Street, Room PS 502A, New Haven, CT 06510, USA.

出版信息

Clin Lab Med. 2023 Mar;43(1):47-69. doi: 10.1016/j.cll.2022.09.005. Epub 2022 Dec 15.

DOI:10.1016/j.cll.2022.09.005
PMID:36764808
Abstract

Artificial intelligence (AI) applications are an area of active investigation in clinical chemistry. Numerous publications have demonstrated the promise of AI across all phases of testing including preanalytic, analytic, and postanalytic phases; this includes novel methods for detecting common specimen collection errors, predicting laboratory results and diagnoses, and enhancing autoverification workflows. Although AI applications pose several ethical and operational challenges, these technologies are expected to transform the practice of the clinical chemistry laboratory in the near future.

摘要

人工智能(AI)应用是临床化学领域的一个活跃研究领域。大量文献证明了 AI 在测试的所有阶段(包括分析前、分析中和分析后阶段)都具有广阔的应用前景;这包括用于检测常见标本采集错误、预测实验室结果和诊断以及增强自动验证工作流程的新方法。尽管 AI 应用带来了一些伦理和操作上的挑战,但这些技术有望在不久的将来改变临床化学实验室的实践。

相似文献

1
Artificial Intelligence Applications in Clinical Chemistry.人工智能在临床化学中的应用。
Clin Lab Med. 2023 Mar;43(1):47-69. doi: 10.1016/j.cll.2022.09.005. Epub 2022 Dec 15.
2
International Federation of Clinical Chemistry. Use of artificial intelligence in analytical systems for the clinical laboratory. IFCC Committee on Analytical Systems.国际临床化学联合会。人工智能在临床实验室分析系统中的应用。国际临床化学联合会分析系统委员会。
Clin Chim Acta. 1994 Dec 16;231(2):S5-34. doi: 10.1016/0009-8981(94)90206-2.
3
Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review.人工智能在护理中的应用场景:快速综述。
J Med Internet Res. 2021 Nov 29;23(11):e26522. doi: 10.2196/26522.
4
Using machine learning to develop an autoverification system in a clinical biochemistry laboratory.利用机器学习在临床生化实验室中开发自动验证系统。
Clin Chem Lab Med. 2020 Nov 26;59(5):883-891. doi: 10.1515/cclm-2020-0716. Print 2021 Apr 27.
5
Clinical applications of artificial intelligence in cardiology on the verge of the decade.人工智能在心脏病学中的临床应用即将进入十年。
Cardiol J. 2021;28(3):460-472. doi: 10.5603/CJ.a2020.0093. Epub 2020 Jul 10.
6
The Impact of Artificial Intelligence and Machine Learning in Radiation Therapy: Considerations for Future Curriculum Enhancement.人工智能和机器学习在放射治疗中的影响:未来课程强化的考虑因素。
J Med Imaging Radiat Sci. 2020 Jun;51(2):214-220. doi: 10.1016/j.jmir.2020.01.008. Epub 2020 Feb 27.
7
Evolving Applications of Artificial Intelligence and Machine Learning in Infectious Diseases Testing.人工智能和机器学习在传染病检测中的应用不断发展。
Clin Chem. 2021 Dec 30;68(1):125-133. doi: 10.1093/clinchem/hvab239.
8
Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice.用于诊断青光眼和检测青光眼病情进展的人工智能算法:向临床实践的转化
Transl Vis Sci Technol. 2020 Oct 15;9(2):55. doi: 10.1167/tvst.9.2.55. eCollection 2020 Oct.
9
Promises and perils of artificial intelligence in dentistry.人工智能在牙科领域的承诺与风险。
Aust Dent J. 2021 Jun;66(2):124-135. doi: 10.1111/adj.12812. Epub 2021 Jan 17.
10
Interpretation and Use of Applied/Operational Machine Learning and Artificial Intelligence in Surgery.手术中应用/操作机器学习和人工智能的解读与应用。
Surg Clin North Am. 2023 Apr;103(2):317-333. doi: 10.1016/j.suc.2022.11.004.

引用本文的文献

1
Comprehensive assessment of medical laboratory performance: a 4D model of quality, economics, velocity, and productivity indicators.医学实验室性能的综合评估:质量、经济性、速度和生产率指标的4D模型
Clin Chem Lab Med. 2025 May 5. doi: 10.1515/cclm-2025-0323.
2
Are we ready to integrate advanced artificial intelligence models in clinical laboratory?我们准备好将先进的人工智能模型整合到临床实验室中了吗?
Biochem Med (Zagreb). 2025 Feb 15;35(1):010501. doi: 10.11613/BM.2025.010501. Epub 2024 Dec 15.
3
Machine Learning for Patient-Based Real-Time Quality Control (PBRTQC), Analytical and Preanalytical Error Detection in Clinical Laboratory.
基于患者的实时质量控制(PBRTQC)的机器学习,临床实验室中的分析和分析前误差检测。
Diagnostics (Basel). 2024 Aug 20;14(16):1808. doi: 10.3390/diagnostics14161808.
4
Response accuracy of ChatGPT 3.5 Copilot and Gemini in interpreting biochemical laboratory data a pilot study.ChatGPT 3.5 Copilot 和 Gemini 解读生化实验室数据的反应准确性:一项初步研究。
Sci Rep. 2024 Apr 8;14(1):8233. doi: 10.1038/s41598-024-58964-1.
5
Artificial Intelligence in Clinical Chemistry: Dawn of a New Era?临床化学中的人工智能:新时代的曙光?
Indian J Clin Biochem. 2023 Oct;38(4):405-406. doi: 10.1007/s12291-023-01150-3. Epub 2023 Sep 14.