Jovana Panic got her Ph.D. in Bioengineering and Medical-Surgical Sciences on March 2024, a joint programme between Polytechnic University of Turin and University of Turin.

Her research has been focused on the development of non-invasive tools able to support clinicians in both diagnosis and prognosis, based on medical images and Artificial Intelligence (AI) techniques.

In particular, her studies were related to oncological applications (rectal and prostate cancer), and the analysis of how both Machine (ML) and Deep Learning (DL) could affect the diagnosis and the prognosis of such pathologies.

In the last years, she has analysed several uncovered issues which strongly limit the introduction into clinical practice of AI tools, related to both medical data analysis and the implementation of such systems. On one hand, the unavoidable data variability, which characterizes multi-centre medical database, due to non- and biological reasons, heavily affects the achievement of robust, reproducible, and statistically relevant results. On the other, there are no clear recommendations that may support AI-based system implementation in the medical domain.