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Applications of artificial intelligence in stereotactic body radiation therapy.

Pietro MancosuNicola LambriIsabella CastiglioniDamiano DeiMauro IoriDaniele LoiaconoSerenella RussoCinzia TalamontiElena VillaggiMarta ScorsettiMichele Avanzo
Published in: Physics in medicine and biology (2022)
This topical review focuses on the applications of artificial intelligence (AI) tools to stereotactic body radiation therapy (SBRT). The high dose per fraction and the limited number of fractions in SBRT require stricter accuracy than standard radiation therapy. The intent of this review is to describe the development and evaluate the possible benefit of AI tools integration into the radiation oncology workflow for SBRT automation. The selected papers were subdivided into four sections, representative of the whole radiotherapy process: 'AI in SBRT target and organs at risk contouring', 'AI in SBRT planning', 'AI during the SBRT delivery', and 'AI for outcome prediction after SBRT'. Each section summarises the challenges, as well as limits and needs for improvement to achieve better integration of AI tools in the clinical workflow.
Keyphrases
  • artificial intelligence
  • radiation therapy
  • machine learning
  • big data
  • deep learning
  • radiation induced
  • locally advanced
  • high dose
  • low dose
  • electronic health record
  • stem cell transplantation
  • wound healing