Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems.

IF 12.4 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES

NPJ Digital Medicine Pub Date : 2025-05-06 DOI:10.1038/s41746-025-01674-3

Jacob T Rosenthal,Ashley Beecy,Mert R Sabuncu

引用次数: 0

Abstract

There is a growing recognition of the need for clinical trials to safely and effectively deploy artificial intelligence (AI) in clinical settings. We introduce dynamic deployment as a framework for AI clinical trials tailored for the dynamic nature of large language models, making possible complex medical AI systems which continuously learn and adapt in situ from new data and interactions with users while enabling continuous real-time monitoring and clinical validation.

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重新思考动态部署自适应系统的医疗人工智能临床试验。

人们越来越认识到需要进行临床试验，以便在临床环境中安全有效地部署人工智能（AI）。我们引入动态部署作为人工智能临床试验的框架，为大型语言模型的动态特性量身定制，使复杂的医疗人工智能系统能够不断地从新的数据和与用户的交互中学习和适应，同时实现持续的实时监控和临床验证。

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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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.