Assessing state-of-the-art online large language models for patient education regarding prostatitis
Prostate
.
2024 Sep;84(12):1173-1175.
doi: 10.1002/pros.24746.
Epub 2024 May 15.
Authors
Pengfei Zhang
1
2
3
,
Hui Wang
3
4
,
Pengfei Li
5
,
Xianchun Fu
1
2
,
Hang Yuan
1
2
,
Hongwei Ji
6
,
Haitao Niu
1
2
Affiliations
1
Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
2
Key Laboratory, Department of Urology and Andrology, Medical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, China.
3
Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
4
Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, China.
5
Department of General Practice, The Affiliated Hospital of Qingdao University, Qingdao, China.
6
Tsinghua Medicine, Tsinghua University, Beijing, China.
PMID:
38751201
DOI:
10.1002/pros.24746
No abstract available
Publication types
Letter
MeSH terms
Humans
Internet
Language
Male
Patient Education as Topic* / methods
Prostatitis* / diagnosis
Grants and funding
tstp20221165/Taishan Scholar Program of Shandong Province
82103908/National Natural Science Foundation of China
ZR2021QH014/Shandong Provincial Natural Science Foundation
BX20230189/National Postdoctoral Innovative Talent Support Program