Application of Large Language Models in <scp>TN</scp> Staging and Treatment Response Evaluation for Patients With Nasopharyngeal Carcinoma: A Comparative Performance Analysis of <scp>ChatGPT</scp> ‐4o‐Latest and <scp>DeepSeek</scp> ‐V3‐0324

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Publication Details

Journal
Journal of Magnetic Resonance Imaging
Published
2025-10-04
DOI
https://doi.org/10.1002/jmri.70140
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
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article

Application of Large Language Models in TN Staging and Treatment Response Evaluation for Patients With Nasopharyngeal Carcinoma: A Comparative Performance Analysis of ChatGPT ‐4o‐Latest and DeepSeek ‐V3‐0324

S. Xiao, Kaiqi Hou, Fan Yang, Xiaobo Chen et al.
1 citations
Journal of Magnetic Resonance Imaging
Radiomics and Machine Learning in Medical Imaging
1.36
article

Application of Large Language Models in TN Staging and Treatment Response Evaluation for Patients With Nasopharyngeal Carcinoma: A Comparative Performance Analysis of ChatGPT ‐4o‐Latest and DeepSeek ‐V3‐0324

S. Xiao, Kaiqi Hou, Fan Yang, Xiaobo Chen, Changhong Liang, Kexin Chen, Zaiyi Liu, Guangyi Wang, Yifan Yang
article en
1 citations

Abstract

No abstract available for this paper.
Journal of Magnetic Resonance ImagingVol. 62(6)
Key Laboratory of Guangdong Province (CN), Guangdong Academy of Medical Sciences (CN), Guangdong Provincial People's Hospital (CN), Southern Medical University (CN), South China University of Technology (CN)
Openalex Percentile: Top 15%
Radiomics and Machine Learning in Medical Imaging
1.36
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Application of Large Language Models in <scp>TN</scp> Staging and Treatment Response Evaluation for Patients With Nasopharyngeal Carcinoma: A Comparative Performance Analysis of <scp>ChatGPT</scp> ‐4o‐Latest and <scp>DeepSeek</scp> ‐V3‐0324 — S. Xiao, Kaiqi Hou, et al. · Journal of Magnetic Resonance Imaging (2025) | TGRS Research Map | TGRS