N. Kadoya

Ensemble principal component analysis-based multi-omics for radiation pneumonitis prediction in stage III non-small cell lung cancer: a pipeline comparison.

Pulmonary ventilation images from planning CT images using deep learning on locally‐advanced NSCLC patients

Abstract Background Pulmonary ventilation imaging has become an increasingly important component in thoracic radiotherapy, as it is applied to functional avoidance radiotherapy, where radiation doses are strategically minimized to preserve functional lung regions. Purpose We developed a framework that generates compute...

Clinical impact of introducing automated plan checking in radiation therapy: effects on workflow efficiency, cognitive load and usability.

As radiation therapy planning becomes increasingly complex, the risk of human error and the workload associated with plan checking have intensified for medical physicists. This study aimed to develop an automated plan check script using the Eclipse Scripting API and to quantitatively evaluate its impact on workflow eff...

Clinical evaluation of novel deep learning‐based auto‐segmentation software: Utility and potential pitfalls

RatoGuide demonstrated favorable performance in typical cases, but accuracy declined in atypical cases with artifacts or altered anatomy, particularly for atypical cases and organs in high-dose gradient regions.