Varian Ethos 2.0 recently introduced High-Fidelity (HF) Mode, featuring a 1.25 mm dose grid designed for small-target SRS/SBRT. While the Intelligent Optimization Engine (IOE) automates plan generation, the impact of user-defined optimization structures—speci...
Author profile
Maria de la Luz De Ornelas, PhD, MS
Department of Radiation Oncology, University of Miami
Optimizing Sharpness: Impact of Control Ring Geometry on Dose Gradients In Varian Ethos 2.0 High-Fidelity Mode for Small Fields
Poster Program · Therapy Physics
Quantitative Risk Assessment In Radiation Oncology Via LLM-Powered Root Cause Analysis of Incident Reports
Root Cause Analysis (RCA) is resource-intensive and prone to subjective bias. While Radiation Oncology Incident Learning System (RO-ILS) collects vast data, extracting insights from unstructured narratives remains a bottleneck. Large language models (LLMs) of...
Poster Program · Therapy Physics
Augmenting Patient Safety Surveillance In Radiation Oncology with Large Language Model-Based Root Cause Analysis
To evaluate the reasoning capabilities of large language models (LLMs) in performing root cause analysis (RCA) of radiation oncology incidents using narrative reports from the Radiation Oncology Incident Learning System (RO-ILS), and to assess their potential...
Proffered Program · Therapy Physics