Biography

Riccardo Bellazzi is a Full Professor of Bioengineering at the University of Pavia, where he chairs the PhD program in Bioengineering, Bioinformatics, and Health Technologies. He is also the co-director of the "Mario Stefanelli" Biomedical Informatics Labs and leads the Laboratory of Medical Informatics and Artificial Intelligence at the IRCCS ICS Maugeri in Pavia.

His research focuses on applying informatics to medicine and life sciences, with special interests in artificial intelligence, biomedical data mining, telemedicine, decision support systems, and clinical research informatics.

Professor Bellazzi has a broad, internationally recognized research career. He was named a Fellow of the American College of Medical Informatics in 2009, and a Founding Fellow of the International Academy of Health Sciences Informatics in 2019. In 2023, he received the François Grémy Award of Excellence from the International Medical Informatics Association in recognition of his career achievements. He is also involved in several international research projects concerning AI and IT in biomedicine.

A member of the editorial boards for several biomedical informatics journals, he has authored over 450 international publications cited more than 11,000 times. He is also a co-founder of two academic spin-offs: Biomeris, which develops software for clinical research, and Engenome, which specializes in the bioinformatics analysis of Next Generation Sequencing data.



Publications

Bergomi, L., Nicora, G., Orlowska, M.A. et al.

Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization

Published in: BMC Medical Informatics and Decision Making

Pe, S. Famiglini, L., et al.

Alternative Strategies to Generate Class Activation Maps Supporting AI-based Advice in Vertebral Fracture Detection in X-ray Images

Published in: MissingFormLabel Methods of Information in Medicine

Nicora, Pe, Santangelo, et al.

Systematic review of AI/ML applications in multi-domain robotic rehabilitation: trends, gaps, and future directions

Published in: Journal of NeuroEngineering and Rehabilitation

Peracchio, Nicora, Parimbelli, Buonocore, Dagliati, Bellazzi et al

RelAI: an automated approach to judge pointwise ML prediction reliability

Published in: International Journal of Medical Informatics

Santangelo, Nicora, Bellazzi, Dagliati

How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data

Contacts