BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
8/21/2025 8:16:41 AM | Browse: 47 | Download: 77
 |
Received |
|
2025-06-09 10:38 |
|
Peer-Review Started |
|
2025-06-09 10:38 |
 |
To Make the First Decision |
|
|
|
Return for Revision |
|
2025-06-12 07:39 |
|
Revised |
|
2025-06-13 17:35 |
|
Second Decision |
|
2025-07-30 02:40 |
|
Accepted by Journal Editor-in-Chief |
|
|
|
Accepted by Executive Editor-in-Chief |
|
2025-07-31 08:58 |
|
Articles in Press |
|
2025-07-31 08:58 |
|
Publication Fee Transferred |
|
|
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2025-08-13 06:43 |
|
Publish the Manuscript Online |
|
2025-08-21 08:16 |
| ISSN |
1949-8462 (online) |
| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Cardiac & Cardiovascular Systems |
| Manuscript Type |
Systematic Reviews |
| Article Title |
Comparison of ChatGPT and DeepSeek large language models in the diagnosis of pericarditis
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Aman Goyal, Samia Aziz Sulaiman, Abdallah Alaarag, Waseem Hoshan, Priya Goyal, Viraj Shah, Mohamed Daoud, Gauranga Mahalwar and Abu Baker Sheikh |
| ORCID |
|
| Funding Agency and Grant Number |
|
| Corresponding Author |
Mohamed Daoud, MD, Department of Internal Medicine, Bogomolets National Medical University, No. 13 Tarasa Shevchenko Blvd, Kyiv 01601, Ukraine. drmohameddaoudmd@gmail.com |
| Key Words |
Artificial intelligence; Cardiology; Pericarditis; Diagnostics |
| Core Tip |
This study evaluates the capabilities of large language models (LLMs), ChatGPT o1 and DeepSeek-R1, in the risk stratification of acute pericarditis, where delayed diagnosis may lead to significant complications. While both LLMs show similar performance and promise as supportive tools in identifying high-risk presentations, their current limitations in recognizing atypical symptom profiles underscore the need for further refinement. Future research should focus on improving model sensitivity to demographic and clinical variability to ensure broader applicability and safety in real-world settings. |
| Publish Date |
2025-08-21 08:16 |
| Citation |
<p>Goyal A, Sulaiman SA, Alaarag A, Hoshan W, Goyal P, Shah V, Daoud M, Mahalwar G, Sheikh AB. Comparison of ChatGPT and DeepSeek large language models in the diagnosis of pericarditis. <i>World J Cardiol</i> 2025; 17(8): 110489</p> |
| URL |
https://www.wjgnet.com/1949-8462/full/v17/i8/110489.htm |
| DOI |
https://dx.doi.org/10.4330/wjc.v17.i8.110489 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
