• 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

人工智能辅助临床环境中医师所需的能力:一项系统综述。

Physicians' required competencies in AI-assisted clinical settings: a systematic review.

作者信息

Schuitmaker Lotte, Drogt Jojanneke, Benders Manon, Jongsma Karin

机构信息

Department of Bioethics & Health Humanities, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands.

Department of Neonatology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands.

出版信息

Br Med Bull. 2025 Jan 16;153(1). doi: 10.1093/bmb/ldae025.

DOI:10.1093/bmb/ldae025
PMID:39821209
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11738171/
Abstract

BACKGROUND

Utilizing Artificial Intelligence (AI) in clinical settings may offer significant benefits. A roadblock to the responsible implementation of medical AI is the remaining uncertainty regarding requirements for AI users at the bedside. An overview of the academic literature on human requirements for the adequate use of AI in clinical settings is therefore of significant value.

SOURCES OF DATA

A systematic review of the potential implications of medical AI for the required competencies of physicians as mentioned in the academic literature.

AREAS OF AGREEMENT

Our findings emphasize the importance of physicians' critical human skills, alongside the growing demand for technical and digital competencies.

AREAS OF CONTROVERSY

Concrete guidance on physicians' required competencies in AI-assisted clinical settings remains ambiguous and requires further clarification and specification. Dissensus remains over whether physicians are adequately equipped to use and monitor AI in clinical settings in terms of competencies, skills and expertise, issues of ownership regarding normative guidance, and training of physicians' skills.

GROWING POINTS

Our review offers a basis for subsequent further research and normative analysis on the responsible use of AI in clinical settings.

AREAS TIMELY FOR DEVELOPING RESEARCH

Future research should clearly outline (i) how physicians must be(come) competent in working with AI in clinical settings, (ii) who or what should take ownership of embedding these competencies in a normative and regulatory framework, (iii) investigate conditions for achieving a reasonable amount of trust in AI, and (iv) assess the connection between trust and efficiency in patient care.

摘要

背景

在临床环境中利用人工智能(AI)可能会带来显著益处。医疗人工智能负责任实施的一个障碍是床边人工智能用户的要求仍存在不确定性。因此,对关于临床环境中充分使用人工智能的人员要求的学术文献进行综述具有重要价值。

数据来源

对学术文献中提到的医疗人工智能对医生所需能力的潜在影响进行系统综述。

共识领域

我们的研究结果强调了医生关键人文技能的重要性,以及对技术和数字能力日益增长的需求。

争议领域

关于人工智能辅助临床环境中医生所需能力的具体指导仍然模糊,需要进一步澄清和明确。在医生是否在能力、技能和专业知识方面有足够能力在临床环境中使用和监控人工智能、规范指导的所有权问题以及医生技能培训方面仍存在分歧。

发展要点

我们的综述为后续关于临床环境中人工智能负责任使用的进一步研究和规范分析提供了基础。

适合开展研究的领域

未来研究应明确概述(i)医生在临床环境中使用人工智能时必须如何具备能力,(ii)谁或什么应负责将这些能力纳入规范和监管框架,(iii)研究对人工智能建立合理信任度的条件,以及(iv)评估患者护理中信任与效率之间的联系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c61/11738171/e8b2089f4ce7/ldae025f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c61/11738171/e8b2089f4ce7/ldae025f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c61/11738171/e8b2089f4ce7/ldae025f1.jpg

相似文献

1
Physicians' required competencies in AI-assisted clinical settings: a systematic review.人工智能辅助临床环境中医师所需的能力:一项系统综述。
Br Med Bull. 2025 Jan 16;153(1). doi: 10.1093/bmb/ldae025.
2
AI in the Health Sector: Systematic Review of Key Skills for Future Health Professionals.卫生部门中的人工智能:对未来卫生专业人员关键技能的系统评价
JMIR Med Educ. 2025 Feb 5;11:e58161. doi: 10.2196/58161.
3
Making Pathologists Ready for the New Artificial Intelligence Era: Changes in Required Competencies.让病理学家为新的人工智能时代做好准备:所需能力的变化。
Mod Pathol. 2025 Feb;38(2):100657. doi: 10.1016/j.modpat.2024.100657. Epub 2024 Nov 13.
4
Responsibility beyond design: Physicians' requirements for ethical medical AI.超越设计的责任:医生对医疗 AI 的伦理要求。
Bioethics. 2022 Feb;36(2):162-169. doi: 10.1111/bioe.12887. Epub 2021 Jun 5.
5
Defining Medical AI Competencies for Medical School Graduates: Outcomes of a Delphi Survey and Medical Student/Educator Questionnaire of South Korean Medical Schools.定义医学生的医学人工智能能力:韩国医学院校德尔菲调查和医学生/教育者问卷的结果。
Acad Med. 2024 May 1;99(5):524-533. doi: 10.1097/ACM.0000000000005618. Epub 2023 Dec 28.
6
Facilitating Trust Calibration in Artificial Intelligence-Driven Diagnostic Decision Support Systems for Determining Physicians' Diagnostic Accuracy: Quasi-Experimental Study.促进人工智能驱动的诊断决策支持系统中信任校准以确定医生的诊断准确性:准实验研究。
JMIR Form Res. 2024 Nov 27;8:e58666. doi: 10.2196/58666.
7
Essential competencies of nurses working with AI-driven lifestyle monitoring in long-term care: A modified Delphi study.长期护理中从事人工智能驱动的生活方式监测工作的护士的核心能力:一项改良德尔菲研究。
Nurse Educ Today. 2025 Jun;149:106659. doi: 10.1016/j.nedt.2025.106659. Epub 2025 Mar 1.
8
Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey.德国大学医院的未来医学人工智能应用要求和医生期望:基于网络的调查。
J Med Internet Res. 2021 Mar 5;23(3):e26646. doi: 10.2196/26646.
9
Considering Clinician Competencies for the Implementation of Artificial Intelligence-Based Tools in Health Care: Findings From a Scoping Review.考虑医疗保健中基于人工智能工具实施的临床医生能力:一项范围综述的结果
JMIR Med Inform. 2022 Nov 16;10(11):e37478. doi: 10.2196/37478.
10
Competencies for the Use of Artificial Intelligence-Based Tools by Health Care Professionals.医疗保健专业人员使用基于人工智能的工具的能力。
Acad Med. 2023 Mar 1;98(3):348-356. doi: 10.1097/ACM.0000000000004963. Epub 2022 Sep 6.

引用本文的文献

1
Quo Vadis, AI-Empowered Doctor?人工智能赋能的医生,路在何方?
JMIR Med Educ. 2025 Aug 15;11:e70079. doi: 10.2196/70079.
2
Integrating artificial intelligence into medical education: a roadmap informed by a survey of faculty and students.将人工智能融入医学教育:基于对教师和学生调查的路线图。
Med Educ Online. 2025 Dec;30(1):2531177. doi: 10.1080/10872981.2025.2531177. Epub 2025 Jul 14.
3
Enhancing skin lesion classification: a CNN approach with human baseline comparison.增强皮肤病变分类:一种与人类基线比较的卷积神经网络方法。

本文引用的文献

1
A comprehensive overview of barriers and strategies for AI implementation in healthcare: Mixed-method design.人工智能在医疗保健中的应用障碍和策略的综合概述:混合方法设计。
PLoS One. 2024 Aug 9;19(8):e0305949. doi: 10.1371/journal.pone.0305949. eCollection 2024.
2
Use of artificial intelligence in critical care: opportunities and obstacles.人工智能在重症监护中的应用:机遇与挑战。
Crit Care. 2024 Apr 8;28(1):113. doi: 10.1186/s13054-024-04860-z.
3
Why we should not mistake accuracy of medical AI for efficiency.为什么我们不应将医学人工智能的准确性误认为是效率。
PeerJ Comput Sci. 2025 Apr 15;11:e2795. doi: 10.7717/peerj-cs.2795. eCollection 2025.
4
Generative artificial intelligence for general practice; new potential ahead, but are we ready?用于全科医疗的生成式人工智能:前景可期,但我们准备好了吗?
Eur J Gen Pract. 2025 Dec;31(1):2511645. doi: 10.1080/13814788.2025.2511645. Epub 2025 Jun 6.
NPJ Digit Med. 2024 Mar 4;7(1):57. doi: 10.1038/s41746-024-01047-2.
4
Revolutionizing healthcare: the role of artificial intelligence in clinical practice.人工智能在临床实践中的应用:医疗保健的革命。
BMC Med Educ. 2023 Sep 22;23(1):689. doi: 10.1186/s12909-023-04698-z.
5
Current trends on the application of artificial intelligence in medical sciences.人工智能在医学科学中的应用现状与趋势
Bioinformation. 2022 Nov 30;18(11):1050-1061. doi: 10.6026/973206300181050. eCollection 2022.
6
Unraveling the Ethical Enigma: Artificial Intelligence in Healthcare.解开伦理谜团:医疗保健领域的人工智能
Cureus. 2023 Aug 10;15(8):e43262. doi: 10.7759/cureus.43262. eCollection 2023 Aug.
7
Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging.重新定义放射学:医学成像中人工智能整合的综述
Diagnostics (Basel). 2023 Aug 25;13(17):2760. doi: 10.3390/diagnostics13172760.
8
Clinicians and AI use: where is the professional guidance?临床医生和人工智能的使用:专业指导在哪里?
J Med Ethics. 2024 Jun 21;50(7):437-441. doi: 10.1136/jme-2022-108831.
9
Biomedical Ethical Aspects Towards the Implementation of Artificial Intelligence in Medical Education.医学教育中人工智能应用的生物医学伦理问题
Med Sci Educ. 2023 Jun 7;33(4):1007-1012. doi: 10.1007/s40670-023-01815-x. eCollection 2023 Aug.
10
Artificial intelligence in neuroradiology: a scoping review of some ethical challenges.神经放射学中的人工智能:对一些伦理挑战的范围界定性综述
Front Radiol. 2023 May 15;3:1149461. doi: 10.3389/fradi.2023.1149461. eCollection 2023.