Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation.

IF 9.1 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Nuclear Medicine Pub Date : 2023-12-01 DOI:10.2967/jnumed.123.266080
Jonathan Herington, Melissa D McCradden, Kathleen Creel, Ronald Boellaard, Elizabeth C Jones, Abhinav K Jha, Arman Rahmim, Peter J H Scott, John J Sunderland, Richard L Wahl, Sven Zuehlsdorff, Babak Saboury
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Abstract

The development of artificial intelligence (AI) within nuclear imaging involves several ethically fraught components at different stages of the machine learning pipeline, including during data collection, model training and validation, and clinical use. Drawing on the traditional principles of medical and research ethics, and highlighting the need to ensure health justice, the AI task force of the Society of Nuclear Medicine and Molecular Imaging has identified 4 major ethical risks: privacy of data subjects, data quality and model efficacy, fairness toward marginalized populations, and transparency of clinical performance. We provide preliminary recommendations to developers of AI-driven medical devices for mitigating the impact of these risks on patients and populations.

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医学成像中人工智能的伦理考虑:数据收集、开发和评估。
核成像中人工智能的发展涉及机器学习管道不同阶段的几个伦理问题,包括数据收集、模型训练和验证以及临床使用。核医学和分子成像学会的人工智能工作组借鉴了医学和研究伦理的传统原则,并强调了确保健康公正的必要性,确定了4个主要的伦理风险:数据主体的隐私、数据质量和模型功效、对边缘化人群的公平性以及临床表现的透明度。我们向人工智能驱动医疗设备的开发人员提供初步建议,以减轻这些风险对患者和人群的影响。
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来源期刊
Journal of Nuclear Medicine
Journal of Nuclear Medicine 医学-核医学
CiteScore
13.00
自引率
8.60%
发文量
340
审稿时长
1 months
期刊介绍: The Journal of Nuclear Medicine (JNM), self-published by the Society of Nuclear Medicine and Molecular Imaging (SNMMI), provides readers worldwide with clinical and basic science investigations, continuing education articles, reviews, employment opportunities, and updates on practice and research. In the 2022 Journal Citation Reports (released in June 2023), JNM ranked sixth in impact among 203 medical journals worldwide in the radiology, nuclear medicine, and medical imaging category.
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