1 citations · 1 across the 2 of their papers we have counts for
2 papers
physics.med-ph2025
Quantitative Risk Assessment in Radiation Oncology via LLM-Powered Root Cause Analysis of Incident Reports
Yuntao Wang, Siamak P. Najad-Davarani, Elizabeth Bossart +3
Background: Modern large language models (LLMs) offer powerful reasoning that converts narratives into structured, taxonomy-aligned data, revealing patterns across planning, delive…
physics.med-ph2025★ 1 cited
Root Cause Analysis of Radiation Oncology Incidents Using Large Language Models
Yuntao Wang, Mariluz De Ornelas, Matthew T. Studenski +3
Purpose To evaluate the reasoning capabilities of large language models (LLMs) in performing root cause analysis (RCA) of radiation oncology incidents using narrative reports from…