M. Rota

Machine Learning-Driven Radiomics for an Early-Stage Predictive Model of Nodal Upstaging in Thoracic Oncology

It is believed that the use of a homogeneous population, however small, can ensure the data uniformity necessary to identify a predictive model that, once refined, can be integrated into clinical practice to personalize the diagnostic pathway and, potentially, the surgical approach.