Artificial Intelligence in Biomedicine: A Legal Insight
The involvement of artificial intelligence in biomedicine promises better support for decision-making both in conventional and research medical practice. Yet two important issues emerge in relation to personal data handling, and the influence of AI on patient/doctor relationships. The development of...
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doaj-a9ec4d47d1a442509dec69a1a9a8cc1e2021-09-25T23:48:13ZengMDPI AGBioTech2673-62842021-07-0110151510.3390/biotech10030015Artificial Intelligence in Biomedicine: A Legal InsightTakis Vidalis0Hellenic National Commission for Bioethics and Technoethics, 10674 Athens, GreeceThe involvement of artificial intelligence in biomedicine promises better support for decision-making both in conventional and research medical practice. Yet two important issues emerge in relation to personal data handling, and the influence of AI on patient/doctor relationships. The development of AI algorithms presupposes extensive processing of big data in biobanks, for which procedures of compliance with data protection need to be ensured. This article addresses this problem in the framework of the EU legislation (GDPR) and explains the legal prerequisites pertinent to various categories of health data. Furthermore, the self-learning systems of AI may affect the fulfillment of medical duties, particularly if the attending physicians rely on unsupervised applications operating beyond their direct control. The article argues that the patient informed consent prerequisite plays a key role here, not only in conventional medical acts but also in clinical research procedures.https://www.mdpi.com/2673-6284/10/3/15artificial intelligencebiomedicinedata protectionmedical dutyinformed consentunsupervised systems |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Takis Vidalis |
spellingShingle |
Takis Vidalis Artificial Intelligence in Biomedicine: A Legal Insight BioTech artificial intelligence biomedicine data protection medical duty informed consent unsupervised systems |
author_facet |
Takis Vidalis |
author_sort |
Takis Vidalis |
title |
Artificial Intelligence in Biomedicine: A Legal Insight |
title_short |
Artificial Intelligence in Biomedicine: A Legal Insight |
title_full |
Artificial Intelligence in Biomedicine: A Legal Insight |
title_fullStr |
Artificial Intelligence in Biomedicine: A Legal Insight |
title_full_unstemmed |
Artificial Intelligence in Biomedicine: A Legal Insight |
title_sort |
artificial intelligence in biomedicine: a legal insight |
publisher |
MDPI AG |
series |
BioTech |
issn |
2673-6284 |
publishDate |
2021-07-01 |
description |
The involvement of artificial intelligence in biomedicine promises better support for decision-making both in conventional and research medical practice. Yet two important issues emerge in relation to personal data handling, and the influence of AI on patient/doctor relationships. The development of AI algorithms presupposes extensive processing of big data in biobanks, for which procedures of compliance with data protection need to be ensured. This article addresses this problem in the framework of the EU legislation (GDPR) and explains the legal prerequisites pertinent to various categories of health data. Furthermore, the self-learning systems of AI may affect the fulfillment of medical duties, particularly if the attending physicians rely on unsupervised applications operating beyond their direct control. The article argues that the patient informed consent prerequisite plays a key role here, not only in conventional medical acts but also in clinical research procedures. |
topic |
artificial intelligence biomedicine data protection medical duty informed consent unsupervised systems |
url |
https://www.mdpi.com/2673-6284/10/3/15 |
work_keys_str_mv |
AT takisvidalis artificialintelligenceinbiomedicinealegalinsight |
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