A unified deep‐learning framework for enhanced patient‐specific quality assurance of intensity‐modulated radiation therapy plans

The flexibility of the implemented model architecture allows its adaptability to other delivery techniques and measurement modalities. Its utilization also reduces the requirements of the measurement devices. The proposed unified framework could play a decisive role in automating QA workflow, especially in the context of real-time adaptive radiation therapy (ART).