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Cited by in CrossRef
For: Li Y, Huang CK, Hu Y, Zhou XD, He C, Zhong JW. Exploring the performance of large language models on hepatitis B infection-related questions: A comparative study. World J Gastroenterol 2025; 31(3): 101092 [PMID: 39839898 DOI: 10.3748/wjg.v31.i3.101092]
URL: https://www.wjgnet.com/1007-9327/full/v31/i3/101092.htm
Number Citing Articles
1
Yanqiu Li, Zhuojun Li, Jinze Li, Long Liu, Yao Liu, Bingbing Zhu, Ke shi, Yu Lu, Yongqi Li, Xuanwei Zeng, Ying Feng, Xianbo Wang. The actual performance of large language models in providing liver cirrhosis-related information: A comparative studyInternational Journal of Medical Informatics 2025; 201: 105961 doi: 10.1016/j.ijmedinf.2025.105961
2
Zhili Niu, Xiandong Kuang, Juanjuan Chen, Xin Cai, Pingan Zhang. Aplicaciones y retos de ChatGPT en la medicina de laboratorioAdvances in Laboratory Medicine / Avances en Medicina de Laboratorio 2025; 6(4): 397 doi: 10.1515/almed-2025-0158
3
Zhili Niu, Xiandong Kuang, Juanjuan Chen, Xin Cai, Pingan Zhang. The application and challenges of ChatGPT in laboratory medicineAdvances in Laboratory Medicine / Avances en Medicina de Laboratorio 2025; 6(4): 385 doi: 10.1515/almed-2025-0080
4
Daphne E. DeTemple, Timo C. Meine. Comparison of the readability of ChatGPT and Bard in medical communication: a meta-analysisBMC Medical Informatics and Decision Making 2025; 25(1) doi: 10.1186/s12911-025-03035-2
5
Tao Liu, Xinglun Qi, Mohui Guo, Xianfei Ye, Lina Fan, Dagan Yang. Performance evaluation of five large language models for assisting in the interpretation of urinalysis reports for kidney diseases: a real-world studyClinical Chemistry and Laboratory Medicine (CCLM) 2026;  doi: 10.1515/cclm-2026-0435
6
Basile Njei, Yazan A. Al‐Ajlouni, Abisola Ajayi, Farah Shahin, Omar Al Ta'ani, Sarpong Boateng, Gyanprakash Ketwaroo, Petr Protiva. Large Language Models for Diagnosis and Prognosis of Chronic Liver Diseases: A Systematic ReviewHealth Science Reports 2026; 9(5) doi: 10.1002/hsr2.72476
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