Structured education in artificial intelligence (AI) has become increasingly important for medical physicists as AI tools are integrated into clinical practice. To address this need, the AAPM Ad Hoc Advisory Committee on AI Boot Camps (AHAIBC) was established...
Author profile
X. Sharon Qi, PhD
Department of Radiation Oncology, University of California, Los Angeles
This study presents a hybrid framework combining Vision Transformer (ViT) and handcrafted radiomic features for oropharyngeal carcinoma (OPC), to enhance multi-endpoint survival prediction.
Accurate patient stratification is critical for personalized radiation therapy in head-and-neck cancer (HNC), yet it remains challenging due to disease heterogeneity, high-dimensional feature spaces, and limited sample sizes for specific clinical endpoints. T...
To evaluate dosimetric trends and robustness of online adaptive radiation therapy for focal-boosted prostate SBRT. Materials/
MRI-guided lung SBRT has emerged as a novel treatment modality with the potential to enhance motion management and improve normal lung sparing. This retrospective study evaluates the extent of normal lung sparing achieved by real-time tracking and automatic g...
MR-guided radiotherapy, especially adaptive therapy, involves complex, multi-stage clinical workflows that are challenging to quantify using conventional manual metrics. In-depth, quantitative, understanding of the clinical workflow can provide crucial insigh...
The nutritional status of head and neck cancer (HNC) patients receiving radiotherapy often declines due to treatment-related side effects. This study characterizes the effect of baseline body mass index (BMI) on overall survival and analyzes how soft tissue v...