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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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Detalles Bibliográficos
Autor principal: Vidalis, Takis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245462/
https://www.ncbi.nlm.nih.gov/pubmed/35822769
http://dx.doi.org/10.3390/biotech10030015
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author Vidalis, Takis
author_facet Vidalis, Takis
author_sort Vidalis, Takis
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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.
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spelling pubmed-92454622022-07-06 Artificial Intelligence in Biomedicine: A Legal Insight Vidalis, Takis BioTech (Basel) Article 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. MDPI 2021-07-14 /pmc/articles/PMC9245462/ /pubmed/35822769 http://dx.doi.org/10.3390/biotech10030015 Text en © 2021 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vidalis, Takis
Artificial Intelligence in Biomedicine: A Legal Insight
title 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_short Artificial Intelligence in Biomedicine: A Legal Insight
title_sort artificial intelligence in biomedicine: a legal insight
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245462/
https://www.ncbi.nlm.nih.gov/pubmed/35822769
http://dx.doi.org/10.3390/biotech10030015
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