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Articles Published Processes
6/6/2025 3:38:06 AM | Browse: 126 | Download: 553
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Received |
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2025-02-24 10:59 |
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Peer-Review Started |
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2025-02-24 10:59 |
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First Decision by Editorial Office Director |
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2025-04-02 11:22 |
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Return for Revision |
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2025-04-02 11:22 |
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Revised |
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2025-04-02 13:27 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-04-27 02:43 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-04-27 08:41 |
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Articles in Press |
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2025-04-27 08:41 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-05-30 03:34 |
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Publish the Manuscript Online |
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2025-06-06 03:38 |
| ISSN |
2644-3228 (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
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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 |
Computer Science, Artificial Intelligence |
| Manuscript Type |
Retrospective Study |
| Article Title |
Can ChatGPT and DeepSeek help cancer patients: A comparative study of artificial intelligence models in clinical decision support
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Meng Sun, Jun Yu, Jing-Wen Zhou, Ming Ye, Fang Ye and Mei Ding |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Jiangsu Provincial Key R&D Program |
No. BE2019723 |
| China Academy of Chinese Medical Sciences |
No. CI2022E028XB |
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| Corresponding Author |
Fang Ye, . 1596837403@qq.com |
| Key Words |
Artificial intelligence; Clinical decision support; Oncology; ChatGPT; DeepSeek; Precision medicine |
| Core Tip |
This study compares the efficacy of ChatGPT [a general-purpose artificial intelligence (AI)] and DeepSeek (a domain-specific clinical AI) in oncology decision support. DeepSeek demonstrated superior diagnostic accuracy (F1-score: 89.2% vs 76.5%) and guideline adherence (Cohen’s κ: 0.82 vs 0.67), while ChatGPT excelled in patient communication (readability score: 8.2/10 vs 6.5/10). Both models underperformed in rare cancer subtypes (F1 < 60%), highlighting the need for hybrid systems integrating technical precision and patient-centered communication. This work advocates for AI models tailored to oncology’s heterogeneous demands, with dynamic updates to address evolving clinical guidelines and rare malignancies. |
| Publish Date |
2025-06-06 03:38 |
| Citation |
Sun M, Yu J, Zhou JW, Ye M, Ye F, Ding M. Can ChatGPT and DeepSeek help cancer patients: A comparative study of artificial intelligence models in clinical decision support. Artif Intell Cancer 2025; 6(1): 106356 |
| URL |
https://www.wjgnet.com/2644-3228/full/v6/i1/106356.htm |
| DOI |
https://dx.doi.org/10.35713/aic.v6.i1.106356 |
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