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A prospective multicenter trial demonstrates that AI-assisted delineation of organs at risk significantly outperforms manual methods in both accuracy and speed for thoracic radiotherapy planning, while reducing inter-observer variability.
Original paper: A prospective multicenter trial of deep learning auto-segmentation for organs at risk in thoracic radiotherapy. — Nature communications. 10.1038/s41467-026-70863-9