Lessons from Henrietta Lacks inform a transparency framework to catalyze generative artificial intelligence in medicine

IF 12.4 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES

NPJ Digital Medicine Pub Date : 2025-05-14 DOI:10.1038/s41746-025-01656-5

Tej D. Azad, Anmol Warman, Deven McGraw, Suchi Saria

引用次数: 0

Abstract

The integration of generative artificial intelligence (AI) tools into healthcare poses significant challenges concerning data privacy and governance. Drawing on the historical vignette of Henrietta Lacks, this perspective examines the implications of using generative AI in clinical settings. We discuss current health data governance practices and their potential limitations in the generative AI era. We propose a framework of proactive transparency to preserve patient autonomy without limiting technologic progress.

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亨丽埃塔·拉克斯（Henrietta Lacks）的经验教训为促进医学中生成人工智能的透明度框架提供了信息

将生成式人工智能（AI）工具集成到医疗保健中，对数据隐私和治理提出了重大挑战。借鉴亨丽埃塔·拉克斯（Henrietta Lacks）的历史小插曲，这一观点探讨了在临床环境中使用生成式人工智能的含义。我们讨论了当前的健康数据治理实践及其在生成式人工智能时代的潜在局限性。我们提出了一个主动透明的框架，在不限制技术进步的情况下保护患者的自主权。

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.