人工智能技术应用于辐射诊断的法律依据

IF 2.2 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Radiology Research and Practice Pub Date : 2023-03-18 DOI:10.52560/2713-0118-2023-2-63-77

V. A. Kazakova, S. A. Tyulyakova, E. Shivilov, K. A. Anichkina, A. L. Miftakhova, D. D. Yurkanova

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引用次数: 0

摘要

本文考虑了国内医疗保健领域人工智能(AI)技术监管的法律依据。放射诊断是第一批引入人工智能来分析放射照片并形成检查结论草案的医学领域之一。由于决策过程的不透明(“黑箱效应”)和高错误率，专家和患者对创新的信任程度仍然很低。在这方面，客观需要建立有效的法律机制，为错误的人工智能决策提供责任措施，保护医生和患者在这些项目运行中的权利。

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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Legal Basis for the Use of Artificial Intelligence Technologies in Radiation Diagnostics

The article considers the legal basis for the regulation of artificial intelligence (AI) technologies in domestic health care. Radiation diagnostics is one of the first areas of medicine where AI is being introduced to analyze radiographs and form draft conclusions for the examination. Due to the opaqueness of the decisionmaking process («black box effect») and high error rate, the level of trust of specialists and patients in innovations remains low. In this connection, there is an objective need to create effective legal mechanisms that provide for measures of responsibility for erroneous AI decisions, protecting the rights of doctors and patients in the operation of these programs.

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来源期刊

Radiology Research and Practice RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

自引率

0.00%

发文量

审稿时长

17 weeks

期刊介绍： Radiology Research and Practice is a peer-reviewed, Open Access journal that publishes articles on all areas of medical imaging. The journal promotes evidence-based radiology practice though the publication of original research, reviews, and clinical studies for a multidisciplinary audience. Radiology Research and Practice is archived in Portico, which provides permanent archiving for electronic scholarly journals, as well as via the LOCKSS initiative. It operates a fully open access publishing model which allows open global access to its published content. This model is supported through Article Processing Charges. For more information on Article Processing charges in gen