DART-Net: A Novel Deep Learning Framework for Precise Radiotherapy Planning with Automated Multiorgan Segmentation and RTSTRUCT Generation

DART-Net establishes a new benchmark for artificial intelligence-assisted radiotherapy planning by harmonizing technical innovation with clinical practicality. By reducing contouring time and improving anatomical precision, this framework addresses critical workflow inefficiencies in radiation oncology when potentially enhancing treatment outcomes through more consistent organ delineation.