临床试验为现实世界的临床实施和人工智能应用的部署提供了信息框架

IF 15.1 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES NPJ Digital Medicine Pub Date : 2025-02-17 DOI:10.1038/s41746-025-01506-4

Jacqueline G. You, Tina Hernandez-Boussard, Michael A. Pfeffer, Adam Landman, Rebecca G. Mishuris

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引用次数: 0

摘要

随着人工智能解决方案的快速发展，医疗保健组织需要一个实现路线图。“临床试验”知情方法可以促进人工智能的安全和有效实施。该框架包括四个阶段：(1)安全；(2)功效;（三）有效性及与现行标准的比较；(4)监测。结合机构间合作和国家资金支持，这种方法将促进人工智能在医疗保健领域的安全、可用、有效和公平部署。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Clinical trials informed framework for real world clinical implementation and deployment of artificial intelligence applications

With rapidly evolving artificial intelligence solutions, healthcare organizations need an implementation roadmap. A “clinical trials” informed approach can promote safe and impactful implementation of artificial intelligence. This framework includes four phases: (1) Safety; (2) Efficacy; (3) Effectiveness and comparison to an existing standard; and (4) Monitoring. Combined with inter-institutional collaboration and national funding support, this approach will advance safe, usable, effective, and equitable deployments of artificial intelligence in healthcare.

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来源期刊

NPJ Digital Medicine Multiple-

CiteScore

25.10

自引率

3.30%

发文量

170

审稿时长

15 weeks

期刊介绍： npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.