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
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.
Citations
1 citations
Journal
Journal of Magnetic Resonance Imaging
Topics
Radiomics and Machine Learning in Medical Imaging
Field-Weighted Citation Impact (FWCI)
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.
Publication Tag
Journal of Magnetic Resonance ImagingVol. 62(6)
Institutions
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)
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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