Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects.

Journal: International journal of medical informatics
Published Date:

Abstract

BACKGROUND: Radiomics is a rapidly growing field used to leverage medical radiological images by extracting quantitative features. These are supposed to characterize a patient's phenotype, and when combined with artificial intelligence techniques, to improve the accuracy of diagnostic models and clinical outcome prediction.

Authors

  • Rasheed Omobolaji Alabi
    Department of Industrial Digitalization, School of Technology and Innovations, University of Vaasa, Vaasa, Finland.
  • Mohammed Elmusrati
    Department of Industrial Digitalization, School of Technology and Innovations, University of Vaasa, Vaasa, Finland.
  • Ilmo Leivo
    Institute of Biomedicine, Pathology, University of Turku, Turku, Finland.
  • Alhadi Almangush
    Research Programme in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland. alhadi.almangush@helsinki.fi.
  • Antti A Mäkitie
    Department of Otorhinolaryngology - Head and Neck Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.