Abstract
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.
Highlights
Developments in contemporary biomedicine raise ethical and legal questions relevant to the extensive use of artificial intelligence (AI) applications both in conventional medicalCitation: Vidalis, T
In clinical trials, the informed consent prerequisite has limited impact compared to conventional medical acts since the law requires previous approval of the research protocol’s scientific and ethical appropriateness
The novel element that AI applications bring to biomedicine is the mobilization of machine-controlled inputs in decision-making regarding either conventional or experimental medical acts
Summary
Developments in contemporary biomedicine raise ethical and legal questions relevant to the extensive use of artificial intelligence (AI) applications both in conventional medical. Intelligence in Biomedicine: A Legal promises better results in the evaluation of specific cases, if these algorithms are formed and Insight. We can distinguish two central questions concerning the use of AI in biomedicine with regard to jurisdictional claims in from a legal standpoint. This article is an open access article of medical duty
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