Artificial intelligence in healthcare faces regulatory challenges: balancing innovation with human oversight

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Authors: H. Servy, Ben Braithwaite, Uta Kiltz, Astrid van Tubergen, Paul Studenic, Marieke Voshaar, Dieter Wiek, Sonia Tropé, Gerd Rüdiger Burmester, Vincenzo Venerito, Laure Gossec
Cited by: 1
References: 15

Abstract

Artificial intelligence (AI) has experienced unprecedented growth in the healthcare sector, promising to revolutionise diagnosis, care, treatment, and biomedical research. This viewpoint article discusses the challenges in this sector and highlights the evolution of the regulatory framework surrounding AI in healthcare and its concrete consequences on innovation. Layered regulatory developments, notably the Medical Device Regulation of 2021 and the AI Act of 2024, have introduced stricter requirements for traceability, clinical performance, risk management, transparency, and human oversight. Although these changes are expected to foster greater trust and accountability among healthcare stakeholders, they also increase the complexity and cost of compliance. These regulatory and organisational challenges represent a turning point for innovative projects in healthcare. Many projects are moving from complex systems toward simpler human-centred tools, whereas others are pushing for collaboration between stakeholders to harmonise existing regulatory frameworks. These combined efforts could lead to more compliant, understandable, and user-friendly solutions for routine care.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Artificial Intelligence Applications Law AI and Intellectual Property

Publication details

Journal / source
EULAR Rheumatology Open
Publisher
Elsevier BV
Volume
2
Issue
1
Pages
283–288
Publication date
1 March 2026
Language
EN