Non‐measured and DVH‐based patient‐specific QA framework for lung SBRT VMAT with machine learning integration

This study introduces a novel NMDB PSQA framework for lung SBRT VMAT plans, incorporating DVH metrics like the PTV F-score and real-time ML classification of susceptible plans. By eliminating the need for physical measurements, this framework enables online adaptive therapy and early feedback during planning, presenting substantial potential for clinical implementation and broader applications.