Adaptive radiotherapy: A real-time AI-guided approach to precision cancer treatment

Adaptive Radiotherapy (ART) seeks to improve accuracy in cancer treatment by considering individual anatomical changes in patients during the radiotherapy process. Nonetheless, conventional ART processes frequently face constraints due to delays in interpreting images, recalculating plans, and integrating workflows. This research introduces an innovative real-time, AI-driven adaptive radiotherapy system that utilizes deep learning for automatic segmentation, deformable image registration, and instantaneous dose recalibration. Our method ensured uniform treatment quality despite differing anatomical presentations, all while preserving workflow efficiency. The results affirm the practicality and clinical benefits of AI-enhanced ART, providing a scalable model for individualized, immediate cancer treatment. This study lays the groundwork for the upcoming era of precision radiotherapy, in which smart systems consistently adjust to the unique requirements of patients in each treatment fraction.