Publication Name	World Journal of Cardiology
Manuscript ID	110489
Country	Ukraine

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
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.
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>

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

ISSN	1949-8462 (online)
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