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Artificial intelligence for response prediction and personalisation in radiation oncology.

Alexander ZwanenburgGareth PriceSteffen Loeck
Published in: Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] (2024)
Artificial intelligence (AI) systems may personalise radiotherapy by assessing complex and multifaceted patient data and predicting tumour and normal tissue responses to radiotherapy. Here we describe three distinct generations of AI systems, namely personalised radiotherapy based on pretreatment data, response-driven radiotherapy and dynamically optimised radiotherapy. Finally, we discuss the main challenges in clinical translation of AI systems for radiotherapy personalisation.
Keyphrases
  • artificial intelligence
  • big data
  • early stage
  • locally advanced
  • machine learning
  • deep learning
  • radiation induced
  • radiation therapy
  • squamous cell carcinoma
  • electronic health record
  • rectal cancer
  • case report