Abstract

Artificial Intelligence (AI) is redefining biomedical engineering research by unlocking unprecedented capabilities in diagnostics, therapeutic design, patient monitoring, and personalized medicine. This article presents a scientific opinion on the transformative role of AI in this field, not as a replacement of the biomedical researcher but as an essential tool that augments human expertise. Drawing from decades of engineering experience, I argue that AI is both an opportunity and a scientific responsibility-an invitation to reframe our methodologies and embrace data-centric thinking while maintaining the core ethical and humanistic principles of biomedicine. While technical challenges remain, including data curation, algorithmic transparency, and regulatory alignment, the integration of AI with biomedical systems offers a promising horizon that demands multidisciplinary collaboration and a recalibration of how we define scientific progress.

Keywords:Artificial intelligence; Biomedical engineering; Machine learning; Clinical translation; Ethics in AI; Hybrid modelling; Personalized medicine