AI Subcommittee

Co-Chairs:

Lennart Volz, Hao Peng, tbd (Asia)

Charges:

• Establish a PTCOG AI vision/roadmap:
  • AI is becoming increasingly important to radiotherapy. The sub-committee will develop a vision/roadmap with milestones for the most crucial AI tools relevant to “future-proof” particle therapy.
• Provide Best-Practice Guidelines:
  • Review existing recommendations for using AI in radiotherapy (e.g. recent ESTRO-AAPM guideline for AI in radiotherapy). Identify points in need for further refinement specific to particle therapy (e.g., accuracy requirement of contouring tools, QA of AI).
• Build a knowledge and data hub:
  • Create a centralized code and data hub, with, at least, links/references to existing AI software and particle therapy data collections, and, at best, an accessible data base of particle therapy data collections.
• Foster collaboration:
  • Bring together the state-of-the-art tools, data, experts
  • Build momentum for large scale grant-applications
• Promote Education:
  • Establish AI mentoring/workshops/learning material specific to AI in particle therapy for (re-)education