Feasibility study of a machine learning inspired approach for VMAT optimization

Key Points

• The study aims to evaluate the feasibility of a machine learning framework for optimizing VMAT treatment plans.
• Developed a machine learning-based optimization framework
• Integrated the framework with existing treatment planning processes
• Evaluated the flexibility and extensibility for future enhancements
• Demonstrated strong potential for improving VMAT optimization efficiency
• Showed adaptability to various treatment planning scenarios
• Indicated a pathway for future research in algorithmic development