Background Clinical prediction is integral to modern healthcare, leveraging current and
historical medical data to forecast health outcomes. The integration of Artificial Intelligence …

Nasopharyngeal carcinoma is a common head and neck malignancy with distinct clinical
management compared to other types of cancer. Precision risk stratification and tailored …

Purpose This study aimed to use deep learning–based dose prediction to assess head and
neck (HN) plan quality and identify suboptimal plans. Methods and Materials A total of 245 …

Radiation therapy (RT) is currently the main clinical treatment of tumors. Before treatment
initiation, precise delineation of the planned target volume (PTV) and organs at risk (OAR) is …

Background. Creating a clinically acceptable plan in the time-sensitive clinic workflow of
brachytherapy is challenging. Deep learning-based dose prediction techniques have been …

Background In recent years, deep‐learning models have been used to predict entire three‐
dimensional dose distributions. However, the usability of dose predictions to improve plan …

Objective. Performing pre-treatment patient-specific quality assurance (prePSQA) is
considered an essential, time-consuming, and resource-intensive task for volumetric …

Radiation therapy (RT) nowadays is a main treatment modality of cancer. To ensure the
therapeutic efficacy of patients, accurate dose distribution is often required, which is a time …

Background The framework of adaptive radiation therapy (ART) was crafted to address the
underlying sources of intra‐patient variation that were observed throughout numerous …