Responsible and ethical application of artificial intelligence systems in healthcare through a case study in diagnostics and personalized medicine
Abstract
The paper discusses new challenges of responsible and ethical application of artificial intelligence (AI) systems in healthcare. Academic research and commercial development focused on medicine are showing exponential growth; however, regulatory requirements for clinical use and commercial introduction are progressing more slowly. After classifying AI applications and identifying challenges and risks, a case study in diagnostics and personalized medicine is presented. The main result is a clear overview of the upcoming trends in medicine that can help legislators prepare to create new regulations and ethical principles of practice for new AI technologies. It is essential that technical experts, policy makers, legislators and other decision-makers accept responsibility.
References
Coeckelbergh, M. (2020). AI ethics. Cambridge. MA: MIT Press.
Gerke, S., Minssen, T., Cohen, G. (2020). Ethical and legal challenges of artificial intelligence-driven healthcare. In: A. Bohr, K. Memarzadeh (eds.) Artificial Intelligence in Healthcare (295–336). Cambridge, MA: Academic Press.
IVI, Institute for Artificial Intelligence Research and Development of Serbia (2024). Available at https://ivi.ac.rs/en/news/.
Larson, D. B. et al. (2021). Regulatory frameworks for development and evaluation of artificial intelligence–based diagnostic imaging algorithms: summary and recommendations. Journal of the American College of Radiology, XVIII (3), 413–424. DOI:https://doi.org/10.1016/j.jacr.2020.09.060.
Milovanović, D., Terzić, R. (2023). Responsible application of Artificial Intelligence in healthcare: ethical principles of practice and new regulations. In: M. Ivković, D. Drašković (eds.) Proceedings of the 29th ICT Conference YU INFO 2023 (46–49). Beograd: Informaciono društvo Srbije. [In Serbian]
Milovanović, D., Terzić, R., Vučetić, Č. (2024). Trends of application Artificial Intelligence in healthcare: challenges and regulation issues. In: Proceedings of the 30th ICT Conference YU INFO 2024. In preparation [In Serbian]
Müller, M., Kettemann, M.C. (2024). European approaches to the regulation of digital technologies. In: H. Werthner et al (eds.) Introduction to Digital Humanism (623–637). Cham: Springer.
Papakonstantinou, V., DeHert, P. (2024). The Regulation of Digital Technologies in the EU. Oxfordshire, England, UK: Routledge.
Recht, M. P. et al. (2020). Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations. European Radiology, XXX (6), 3576–3584. DOI: https://doi.org/10.1007/s00330-020-06672-5.
