3 papers
physics.med-ph2026
Automated Dose-Based Anatomic Region Classification of Radiotherapy Treatment for Big Data Applications
Justin Hink, Yasin Abdulkadir, Jack Neylon +1
Curation is a significant barrier to using 'big data' radiotherapy planning databases of 100,000+ patients. Anatomic site stratification is essential for downstream analyses, but c…
physics.med-ph2026
Automated Extraction of Unstructured Post-SBRT Toxicity Data from Radiology Reports Using Large Language Models
Justin Pijanowski, Yakout Mezgueldi, Alan Lee +3
We evaluated the viability of using a Large Language Model (LLM) to extract patient-specific specific toxicity and progression outcomes from unstructured radiology reports. We retr…
physics.med-ph2024
A generalized software framework for consolidation of radiotherapy planning and delivery data from diverse data sources
Yasin Abdulkadir, Justin Hink, Peter Boyle +14
Aggregating large-scale radiotherapy planning and delivery data is crucial for advancing radiation oncology research and improving clinical practice, yet challenges persist due to…