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Organ-at-risk dose prediction using a machine learning algorithm: Clinical validation and treatment planning benefit for lung SBRT.

N Patrik BrodinLeslie SchulteChristian VeltenWilliam MartinSydney ShenJin ShenAmar BasavatiaNitin OhriMadhur K GargColin CarpenterWolfgang Axel Tomé
Published in: Journal of applied clinical medical physics (2022)
This study validated ML-based OAR dose prediction for lung SBRT, showing potential for improved OAR dose sparing and more consistent plan quality using dose predictions for patient-specific planning guidance.
Keyphrases
  • machine learning
  • radiation therapy
  • big data
  • quality improvement
  • climate change