• 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

Meeting the Moment: Addressing Barriers and Facilitating Clinical Adoption of Artificial Intelligence in Medical Diagnosis.

作者信息

Adler-Milstein Julia, Aggarwal Nakul, Ahmed Mahnoor, Castner Jessica, Evans Barbara J, Gonzalez Andrew A, James Cornelius A, Lin Steven, Mandl Kenneth D, Matheny Michael E, Sendak Mark P, Shachar Carmel, Williams Asia

机构信息

University of California-San Francisco.

University of Wisconsin-Madison.

出版信息

NAM Perspect. 2022 Sep 29;2022. doi: 10.31478/202209c. eCollection 2022.

DOI:10.31478/202209c
PMID:36713769
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9875857/
Abstract
摘要

相似文献

1
Meeting the Moment: Addressing Barriers and Facilitating Clinical Adoption of Artificial Intelligence in Medical Diagnosis.把握当下：消除障碍并推动人工智能在医学诊断中的临床应用。
NAM Perspect. 2022 Sep 29;2022. doi: 10.31478/202209c. eCollection 2022.
2
Barriers of artificial intelligence implementation in the diagnosis of obstructive sleep apnea.人工智能在阻塞性睡眠呼吸暂停诊断中的应用障碍。
J Otolaryngol Head Neck Surg. 2022 Apr 25;51(1):16. doi: 10.1186/s40463-022-00566-w.
3
Artificial Intelligence for Radiotherapy Auto-Contouring: Current Use, Perceptions of and Barriers to Implementation.人工智能在放射治疗自动勾画中的应用：现状、认知与实施障碍。
Clin Oncol (R Coll Radiol). 2023 Apr;35(4):219-226. doi: 10.1016/j.clon.2023.01.014. Epub 2023 Jan 23.
4
Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors.人工智能（AI）在放射学中的应用：阻碍和促进因素。
Eur Radiol. 2020 Oct;30(10):5525-5532. doi: 10.1007/s00330-020-06946-y. Epub 2020 May 26.
5
The Aspects of Artificial Intelligence in Different Phases of the Food Value and Supply Chain.人工智能在食品价值链和供应链不同阶段的各个方面。
Foods. 2023 Apr 15;12(8):1654. doi: 10.3390/foods12081654.
6
Promoting Healthcare Workers' Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human-Computer Trust.促进医疗工作者对人工智能辅助诊断和治疗的采用意愿：社会影响和人机信任的链式中介作用。
Int J Environ Res Public Health. 2022 Oct 15;19(20):13311. doi: 10.3390/ijerph192013311.
7
Artificial Intelligence in Medicine: Chances and Challenges for Wide Clinical Adoption.医学中的人工智能：广泛临床应用的机遇与挑战
Visc Med. 2020 Dec;36(6):443-449. doi: 10.1159/000511930. Epub 2020 Oct 12.
8
A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare.医疗保健领域人工智能实施障碍的系统评价
Cureus. 2023 Oct 4;15(10):e46454. doi: 10.7759/cureus.46454. eCollection 2023 Oct.
9
Actionable artificial intelligence: Overcoming barriers to adoption of prediction tools.可操作的人工智能：克服预测工具采用的障碍。
Surgery. 2023 Sep;174(3):730-732. doi: 10.1016/j.surg.2023.03.019. Epub 2023 May 16.
10
The Role of Artificial Intelligence Model Documentation in Translational Science: Scoping Review.人工智能模型文档在转化科学中的作用：范围综述
Interact J Med Res. 2023 Jul 14;12:e45903. doi: 10.2196/45903.

引用本文的文献

1
The Impact of Artificial Intelligence on Lung Cancer Diagnosis and Personalized Treatment.人工智能对肺癌诊断及个性化治疗的影响
Int J Mol Sci. 2025 Aug 31;26(17):8472. doi: 10.3390/ijms26178472.
2
Reimagining clinical AI: from clickstreams to clinical insights with EHR use metadata.重新构想临床人工智能：利用电子健康记录使用元数据从点击流中获取临床见解。
Npj Health Syst. 2025;2(1):33. doi: 10.1038/s44401-025-00040-5. Epub 2025 Sep 4.
3
Data Transformation to Advance AI/ML Research and Implementation in Primary Care.数据转换以推进初级保健中的人工智能/机器学习研究与实施。
Ann Fam Med. 2025 Jul 28;23(4):363-367. doi: 10.1370/afm.240459.
4
AI-Powered Object Detection in Radiology: Current Models, Challenges, and Future Direction.放射学中的人工智能驱动目标检测：当前模型、挑战与未来方向。
J Imaging. 2025 Apr 30;11(5):141. doi: 10.3390/jimaging11050141.
5
Advancements in deep learning for early diagnosis of Alzheimer's disease using multimodal neuroimaging: challenges and future directions.基于多模态神经影像学的深度学习在阿尔茨海默病早期诊断中的进展：挑战与未来方向。
Front Neuroinform. 2025 May 2;19:1557177. doi: 10.3389/fninf.2025.1557177. eCollection 2025.
6
Artificial intelligence tool development: what clinicians need to know?人工智能工具开发：临床医生需要了解什么？
BMC Med. 2025 Apr 24;23(1):244. doi: 10.1186/s12916-025-04076-0.
7
AI-Powered Transformation of Healthcare: Enhancing Patient Safety Through AI Interventions with the Mediating Role of Operational Efficiency and Moderating Role of Digital Competence-Insights from the Gulf Cooperation Council Region.人工智能驱动的医疗保健变革：通过人工智能干预提高患者安全，运营效率起中介作用，数字能力起调节作用——来自海湾合作委员会地区的见解
Healthcare (Basel). 2025 Mar 12;13(6):614. doi: 10.3390/healthcare13060614.
8
Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI.塑造医疗保健的未来：伦理临床挑战与可信人工智能之路。
J Clin Med. 2025 Feb 27;14(5):1605. doi: 10.3390/jcm14051605.
9
A Comprehensive Guide to Implement Artificial Intelligence Cloud Solutions in a Dental Clinic: A Review.牙科诊所实施人工智能云解决方案综合指南：综述
Cureus. 2025 Feb 7;17(2):e78718. doi: 10.7759/cureus.78718. eCollection 2025 Feb.
10
An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation.用于儿科肥胖风险评估的可互操作机器学习管道
Proc Mach Learn Res. 2024 Dec;259:308-324.

本文引用的文献

1
Paying for artificial intelligence in medicine.为医学人工智能付费。
NPJ Digit Med. 2022 May 20;5(1):63. doi: 10.1038/s41746-022-00609-6.
2
Sustainability of a Clinical Decision Support Intervention for Outpatient Care for Emergency Department Patients With Acute Pulmonary Embolism.临床决策支持干预对急诊科急性肺栓塞门诊患者的可持续性。
JAMA Netw Open. 2022 May 2;5(5):e2212340. doi: 10.1001/jamanetworkopen.2022.12340.
3
Feasibility of a Machine Learning-Based Smartphone Application in Detecting Depression and Anxiety in a Generally Senior Population.基于机器学习的智能手机应用程序在一般老年人群中检测抑郁和焦虑的可行性。
Front Psychol. 2022 Apr 8;13:811517. doi: 10.3389/fpsyg.2022.811517. eCollection 2022.
4
Digital Health COVID-19 Impact Assessment: Lessons Learned and Compelling Needs.数字健康对COVID-19的影响评估：经验教训与迫切需求。
NAM Perspect. 2022 Jan 18;2022. doi: 10.31478/202201c. eCollection 2022.
5
Clinical decision-making bias in darker skin types: a prospective survey study identifying diagnostic bias in decision to biopsy.深色皮肤类型中的临床决策偏差：一项前瞻性调查研究，确定活检决策中的诊断偏差。
Int J Dermatol. 2023 Apr;62(4):e252-e253. doi: 10.1111/ijd.16213. Epub 2022 Apr 6.
6
Building an evidence standards framework for artificial intelligence-enabled digital health technologies.为人工智能驱动的数字健康技术构建证据标准框架。
Lancet Digit Health. 2022 Apr;4(4):e216-e217. doi: 10.1016/S2589-7500(22)00030-9.
7
Advancing Artificial Intelligence in Health Settings Outside the Hospital and Clinic.推动医院和诊所之外的健康领域的人工智能发展。
NAM Perspect. 2020 Nov 30;2020. doi: 10.31478/202011f. eCollection 2020.
8
High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy With Cardiovascular Deep Learning.高通量精准表型分析左心室肥厚的心血管深度学习方法。
JAMA Cardiol. 2022 Apr 1;7(4):386-395. doi: 10.1001/jamacardio.2021.6059.
9
Antemortem detection of Parkinson's disease pathology in peripheral biopsies using artificial intelligence.利用人工智能在人体外周活检组织中对帕金森病病理进行发病前检测。
Acta Neuropathol Commun. 2022 Feb 14;10(1):21. doi: 10.1186/s40478-022-01318-7.
10
The application of a deep learning system developed to reduce the time for RT-PCR in COVID-19 detection.应用深度学习系统以减少 COVID-19 检测中 RT-PCR 的时间。
Sci Rep. 2022 Jan 24;12(1):1234. doi: 10.1038/s41598-022-05069-2.