医疗人工智能指标缺陷中的伦理争论

IF 12.4 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES

NPJ Digital Medicine Pub Date : 2024-09-11 DOI:10.1038/s41746-024-01242-1

Jack Gallifant, Danielle S. Bitterman, Leo Anthony Celi, Judy W. Gichoya, Joao Matos, Liam G. McCoy, Robin L. Pierce

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引用次数: 0

摘要

医疗人工智能面临着选择性部署与公平部署之间的道德困境，而有缺陷的性能指标则加剧了这一困境。这些指标未能充分反映现实世界的复杂性和偏差，导致过早断言其有效性。改进评估实践，包括持续监测和静默评估期，至关重要。为了解决这些根本性的缺陷，需要转变人工智能评估的模式，优先考虑患者的实际疗效，而不是传统的基准评估。

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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Ethical debates amidst flawed healthcare artificial intelligence metrics

Healthcare AI faces an ethical dilemma between selective and equitable deployment, exacerbated by flawed performance metrics. These metrics inadequately capture real-world complexities and biases, leading to premature assertions of effectiveness. Improved evaluation practices, including continuous monitoring and silent evaluation periods, are crucial. To address these fundamental shortcomings, a paradigm shift in AI assessment is needed, prioritizing actual patient outcomes over conventional benchmarking.

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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.