Artificial intelligence-supported applications in head and neck cancer radiotherapy treatment planning and dose optimisation.

Journal: Radiography (London, England : 1995)
Published Date:

Abstract

INTRODUCTION: The aim of this review is to describe how various AI-supported applications are used in head and neck cancer radiotherapy treatment planning, and the impact on dose management in regards to target volume and nearby organs at risk (OARs).

Authors

  • H Ahervo
    Silmupolku 1B 45, 00380 Helsinki, Finland. Electronic address: hannaahervo@gmail.com.
  • J Korhonen
    Mielikinviita 4 B 29, 02100 Espoo, Finland. Electronic address: jookor96@outlook.com.
  • S Lim Wei Ming
    Singapore Institute of Technology, Singapore. Electronic address: limweimingshawn@gmail.com.
  • F Guan Yunqing
    Singapore Institute of Technology, Singapore. Electronic address: frank.guan@singaporetech.edu.sg.
  • M Soini
    PO BOX 4070, 00079 Metropolia, Finland. Electronic address: mikael.soini@metropolia.fi.
  • C Lian Pei Ling
    Singapore Institute of Technology, Singapore. Electronic address: Cheryl.Lian@Singaporetech.edu.sg.
  • E Metsälä
    Metropolia University of Applied Sciences, Finland. Electronic address: eija.metsala@metropolia.fi.