• Imaging-application of Artificial Intelligence:
    • diagnostic and prognostic role of radiomic signatures and deep-learning algorithms in cancer patients
    • association of radiomic signatures with genomic and immune-molecular patterns in cancer
    • deep-learning in HCC imaging
    • Building and validation of deep-learning-based brain MRI automated segmentation and reporting tools
  • Imaging-based biomarkers of body composition in different patient settings
  • CARDIOVASCOLARE:
    • Predictive role of coronary artery calcifications in cancer patients
    • Role of morphologic and functional imaging in the assessment of large-vessel vasculitis
  • Role of imaging in ortothopic and living-donor liver transplantation
  • Role of emerging imaging techniques in cancer screening and surveillance programs
    • Low-dose CT in lung cancer screening
    • Contrast-enhanced mammography (CEM) vs MRI for breast cancer surveillance in high-risk women