Radiation Oncology

Radiation oncology aims to deliver precise radiation doses to cancerous tumors while minimizing damage to surrounding healthy tissues. Current research heavily emphasizes the use of artificial intelligence, particularly deep learning models like transformers and convolutional neural networks, to automate tasks such as treatment planning, organ segmentation, and motion tracking during radiotherapy. These advancements leverage large datasets and advanced algorithms to improve treatment accuracy, efficiency, and ultimately, patient outcomes. The integration of large language models is also showing promise in structuring unstructured clinical data and assisting with treatment decision-making.