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Review
. 2018 Oct;9(5):745-753.
doi: 10.1007/s13244-018-0645-y. Epub 2018 Aug 15.

Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States

Affiliations
Review

Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States

Filippo Pesapane et al. Insights Imaging. 2018 Oct.

Abstract

Worldwide interest in artificial intelligence (AI) applications is growing rapidly. In medicine, devices based on machine/deep learning have proliferated, especially for image analysis, presaging new significant challenges for the utility of AI in healthcare. This inevitably raises numerous legal and ethical questions. In this paper we analyse the state of AI regulation in the context of medical device development, and strategies to make AI applications safe and useful in the future. We analyse the legal framework regulating medical devices and data protection in Europe and in the United States, assessing developments that are currently taking place. The European Union (EU) is reforming these fields with new legislation (General Data Protection Regulation [GDPR], Cybersecurity Directive, Medical Devices Regulation, In Vitro Diagnostic Medical Device Regulation). This reform is gradual, but it has now made its first impact, with the GDPR and the Cybersecurity Directive having taken effect in May, 2018. As regards the United States (U.S.), the regulatory scene is predominantly controlled by the Food and Drug Administration. This paper considers issues of accountability, both legal and ethical. The processes of medical device decision-making are largely unpredictable, therefore holding the creators accountable for it clearly raises concerns. There is a lot that can be done in order to regulate AI applications. If this is done properly and timely, the potentiality of AI based technology, in radiology as well as in other fields, will be invaluable. TEACHING POINTS: • AI applications are medical devices supporting detection/diagnosis, work-flow, cost-effectiveness. • Regulations for safety, privacy protection, and ethical use of sensitive information are needed. • EU and U.S. have different approaches for approving and regulating new medical devices. • EU laws consider cyberattacks, incidents (notification and minimisation), and service continuity. • U.S. laws ask for opt-in data processing and use as well as for clear consumer consent.

Keywords: Artificial intelligence; Legislation; Policy; Privacy; Radiology.

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Conflict of interest statement

Guarantor(s) of the study

Prof. Francesco Sardanelli.

Competing interests

All the authors have no competing interests related to the present paper to disclose.

Availability of data and materials

Data originating the Tables are available on request sent to the corresponding author.

References

    1. Chartrand G, Cheng PM, Vorontsov E, et al. Deep learning: a primer for radiologists. Radiographics. 2017;37:2113–2131. doi: 10.1148/rg.2017170077. - DOI - PubMed
    1. Russell S, Bohannon J. Artificial intelligence. Fears of an AI pioneer. Science. 2015;349:252. doi: 10.1126/science.349.6245.252. - DOI - PubMed
    1. Miller DD, Brown EW. Artificial intelligence in medical practice: the question to the answer? Am J Med. 2018;131:129–133. doi: 10.1016/j.amjmed.2017.10.035. - DOI - PubMed
    1. Krittanawong C, Zhang H, Wang Z, Aydar M, Kitai T. Artificial intelligence in precision cardiovascular medicine. J Am Coll Cardiol. 2017;69:2657–2664. doi: 10.1016/j.jacc.2017.03.571. - DOI - PubMed
    1. Jha S (2016) Will computers replace radiologists? Available via https://www.medscape.com/viewarticle/863127