The WMA Declaration of Helsinki – Revision 2024: A synopsis and perspectives for professionals in the domain of medical informatics, biometry, and epidemiology

Background: Sixty years after its introduction in 1964, the Declaration of Helsinki (DoH) was once more revised in 2024. In this article, we provide a brief historical overview followed by an introduction to the DoH to the interdisciplinary and interprofessional domains of medical informatics, biometry, and epidemiology. Methods: We performed a critical synopsis of the 2013 and 2024 versions of the DoH, discussing the adequacy of the updates to existing and emerging challenges of medical research in the domain of medical informatics, biometry, and epidemiology. Results: Major updates of the new version are the extension of the scope of addressees to all researchers related to medical research involving human participants. Further, it adapts terminological changes from the current discourse in applied ethics and strengthens demands for sustainability and equity. The responsibility of researchers is extended to encompass society as a whole, beyond the study population. It does not explicitly include principles on artificial intelligence (AI) in medical research. However, its principles are applicable to AI and address many AI relevant points. Discussion: In comparison to the 2013 version, the 2024 version of the DoH shows significant improvements concerning the role of participants, sustainability, and justice. To implement the extended scope of addressees, it poses new challenges to policy making in professional laws or associations and societies to adapt the DoH in their rules of conduct. Concerns on AI in medical research seem to be largely covered by existing articles of the DoH. Still, having explicit ethical guidelines for using AI in medical research could be helpful in working out specific recommendations for dealing with the risks and possibilities of AI.

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2026-02-18
DOI
https://doi.org/10.3205/mibe000301
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

The WMA Declaration of Helsinki – Revision 2024: A synopsis and perspectives for professionals in the domain of medical informatics, biometry, and epidemiology

Myriam Lipprandt, Nils Freyer, Andreas J. W. Goldschmidt, Rainer Röhrig et al.
German Medical Science (German Research Foundation)
Artificial Intelligence in Healthcare and Education
article

The WMA Declaration of Helsinki – Revision 2024: A synopsis and perspectives for professionals in the domain of medical informatics, biometry, and epidemiology

Myriam Lipprandt, Nils Freyer, Andreas J. W. Goldschmidt, Rainer Röhrig, Dominik Groß
article en

Abstract

Background: Sixty years after its introduction in 1964, the Declaration of Helsinki (DoH) was once more revised in 2024. In this article, we provide a brief historical overview followed by an introduction to the DoH to the interdisciplinary and interprofessional domains of medical informatics, biometry, and epidemiology. Methods: We performed a critical synopsis of the 2013 and 2024 versions of the DoH, discussing the adequacy of the updates to existing and emerging challenges of medical research in the domain of medical informatics, biometry, and epidemiology. Results: Major updates of the new version are the extension of the scope of addressees to all researchers related to medical research involving human participants. Further, it adapts terminological changes from the current discourse in applied ethics and strengthens demands for sustainability and equity. The responsibility of researchers is extended to encompass society as a whole, beyond the study population. It does not explicitly include principles on artificial intelligence (AI) in medical research. However, its principles are applicable to AI and address many AI relevant points. Discussion: In comparison to the 2013 version, the 2024 version of the DoH shows significant improvements concerning the role of participants, sustainability, and justice. To implement the extended scope of addressees, it poses new challenges to policy making in professional laws or associations and societies to adapt the DoH in their rules of conduct. Concerns on AI in medical research seem to be largely covered by existing articles of the DoH. Still, having explicit ethical guidelines for using AI in medical research could be helpful in working out specific recommendations for dealing with the risks and possibilities of AI.

German Medical Science (German Research Foundation)
Goethe University Frankfurt (DE), RWTH Aachen University (DE)
Openalex Percentile: Top 52%
Artificial Intelligence in Healthcare and Education
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