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...

Full description

Bibliographic Details
Main Author: Takis Vidalis
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:BioTech
Subjects:
Online Access:https://www.mdpi.com/2673-6284/10/3/15
id doaj-a9ec4d47d1a442509dec69a1a9a8cc1e
record_format Article
spelling 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
collection 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
_version_ 1717367958870687744