A recent evaluation on the performance of LLMs on radiation oncology physics using questions of randomly shuffled options

These recently released LLMs demonstrated expert-level performance in answering radiation oncology physics questions, exhibiting great potential to assist in radiation oncology physics education and training.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-05-23
DOI
https://doi.org/10.3389/fonc.2025.1557064
Citations
8
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
19.85
Controls
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article

A recent evaluation on the performance of LLMs on radiation oncology physics using questions of randomly shuffled options

Dequan Chen, Zhengliang Liu, Jiajian Shen, Jason Holmes et al.
8 citations
Frontiers in Oncology
Topic Modeling
19.85
article

A recent evaluation on the performance of LLMs on radiation oncology physics using questions of randomly shuffled options

Dequan Chen, Zhengliang Liu, Jiajian Shen, Jason Holmes, Wei Liu, Tianming Liu, P. Wang
article en
8 citations

Abstract

These recently released LLMs demonstrated expert-level performance in answering radiation oncology physics questions, exhibiting great potential to assist in radiation oncology physics education and training.

Frontiers in OncologyVol. 15
University of Georgia (US), WinnMed (US), Mayo Clinic in Arizona (US), Mayo Clinic in Florida (US)
Quality Education
Openalex Percentile: Top 1%
Topic Modeling
19.85
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A recent evaluation on the performance of LLMs on radiation oncology physics using questions of randomly shuffled options — Dequan Chen, Zhengliang Liu, et al. · Frontiers in Oncology (2025) | TGRS Research Map | TGRS