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Articles Published Processes
12/20/2024 3:53:48 AM | Browse: 111 | Download: 516
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Received |
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2024-09-04 05:59 |
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Peer-Review Started |
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2024-09-04 05:59 |
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First Decision by Editorial Office Director |
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2024-10-15 21:48 |
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Return for Revision |
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2024-10-15 21:48 |
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Revised |
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2024-10-29 13:27 |
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Publication Fee Transferred |
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2024-12-04 04:02 |
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Second Decision by Editor |
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2024-12-03 02:45 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-12-03 06:43 |
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Articles in Press |
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2024-12-03 06:43 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-12-13 02:46 |
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Publish the Manuscript Online |
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2024-12-20 03:53 |
| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Basic Study |
| Article Title |
Exploring the performance of large language models on hepatitis B infection-related questions: A comparative study
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yu Li, Chen-Kai Huang, Yi Hu, Xiao-Dong Zhou, Cong He and Jia-Wei Zhong |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
82260133 |
| the Key Laboratory Project of Digestive Diseases in Jiangxi Province |
2024SSY06101 |
| Jiangxi Clinical Research Center for Gastroenterology |
20223BCG74011 |
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| Corresponding Author |
Cong He, Associate Chief Physician, MD, Department of Gastroenterology, Jiangxi Provincial Key Laboratory of Digestive Diseases, Jiangxi Clinical Research Center for Gastroenterology, Digestive Disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17 Yong Waizheng Street, Nanchang 330006, Jiangxi Province, China. hecong.1987@163.com |
| Key Words |
ChatGPT-3.5; ChatGPT-4.0; Google Gemini; Hepatitis B infection; Accuracy |
| Core Tip |
Hepatitis B virus (HBV) infection remains a global health problem that may cause chronic hepatitis, liver cirrhosis, or hepatocellular carcinoma. There is a notable trend among the public to acknowledge HBV-related information to improve outcomes. Artificial intelligence is a large language model that provides updated and helpful knowledge. Since the ChatGPT was developed by OpenAI, an increasing number of studies have explored its utility in responding to medical questions. This study evaluates and compares the abilities of OpenAI’s ChatGPT and Google’s Gemini in answering test questions concerning HBV using both subjective and objective metrics. |
| Publish Date |
2024-12-20 03:53 |
| Citation |
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 |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i3/101092.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i3.101092 |
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