Federico Sternini

Ph.D. candidate in Bioingegneria E Scienze Medico-chirurgiche , 36th cycle (2020-2023)
Department of Electronics and Telecommunications (DET)



Research topic

Risk-based approach to Medical AI


Research interests

Computer Science
Medical Innovation and Technology
Biomedical signal and image processing


Federico Sternini is a dedicated PhD student with a strong passion for AI in medicine. Throughout his doctoral project, he extensively explored the risks associated with AI in the medical field. Additionally, Federico gained profound expertise in the design and certification of advanced medical devices, particularly focusing on Digital Therapeutics (DTx) and Software as a Medical Device (SaMD). His journey has provided him with invaluable insights into the intersection of artificial intelligence and healthcare.


PoliTO co-authors

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