Abstract

Background: Artificial intelligence (AI) is transforming multiple sectors, including healthcare and academic education, with immense potential to revolutionize research, diagnosis, and training. However, its integration presents ethical, methodological, and practical challenges, particularly in the context of biomedical sciences. Objective. This editorial critically examines the role of AI in medical education and biomedical research, highlighting both the opportunities and challenges associated with its adoption. The goal is to provide a nuanced perspective on AI’s evolving impact while advocating for its responsible use. Methods: A descriptive and narrative approach was used, drawing upon expert insights and discussions from the European Congress of Medical Informatics (MIE 2024). Results and Discussion: The integration of AI in healthcare and academic education shows significant promise, particularly in personalized medicine, diagnostic support, and adaptive learning systems. However, concerns about scientific integrity, misuse of AI in publishing, and the need for interdisciplinary collaboration remain central. Ethical challenges, such as ensuring equitable access and preventing bias, are also critical issues. Despite these challenges, AI has the potential to improve research quality and enhance medical training. Conclusion: While AI offers transformative potential for biomedicine, its application must be carefully managed to maintain scientific rigor and ethical standards. The responsible integration of AI requires interdisciplinary collaboration, ongoing ethical reflection, and adherence to academic standards to safeguard the integrity of research and education.

Key words: Armin Sljivo