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Evaluating machine learning enhanced intelligent-optimization-engine (IOE) performance for ethos head-and-neck (HN) plan generation.

Justin VisakEnobong InamBoyu MengSiqiu WangDavid ParsonsDan NyugenTingliang ZhangDominic MoonVladimir AvkshtolSteve JiangDavid SherMu-Han Lin
Published in: Journal of applied clinical medical physics (2023)
AI-guided plans were the highest quality. Both KBP-enabled and RTOG-only plans are feasible approaches as clinics adopt ART workflows. Similar to constrained optimization, the IOE is sensitive to clinical input goals and we recommend comparable input to an institution's planning directive dosimetric criteria.
Keyphrases
  • machine learning
  • artificial intelligence
  • health insurance
  • radiation therapy
  • primary care
  • hiv infected
  • quality improvement
  • deep learning
  • public health
  • monte carlo