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Articles in Press
6/8/2026 6:24:09 AM | Browse: 1 | Download: 0
| Category |
Oncology |
| Manuscript Type |
Minireviews |
| Article Title |
Artificial intelligence empowering precision oncology: The convergence and innovation of traditional Chinese medicine and Western medicine wisdom
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Chang Qiao, Yu-Tong Han, Jiang-Ping Zhan, Jia Yuan, Xiao-Tong Tian, Yue-Chuan Jiao, Hao-Wei Li, Ling-Yong Wu, Chu Li, Yu-Xuan He and De-Hui Li |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| The Natural Science Foundation of Hebei Province |
No. H2024423105 |
| 2023 Government Funded Project of the Outstanding Talents Training Program in Clinical Medicine |
No. ZF2023165 |
| Key Research and Development Projects of Hebei Province |
No. 18277731D |
| Hebei Provincial Administration of Traditional Chinese Medicine, Scientific Research Project |
No. 2023045 and No. 2024023 |
| Hebei Institute of Traditional Chinese Medicine Pharmaceutical Preparation Industry Technology Special Project |
No. YJY2024006 |
| Scientific Research Project of Health Commission of Hebei Province |
No. 20220962 and No. 20240282 |
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| Corresponding Author |
De-Hui Li, Department of Oncology II, The First Affiliated Hospital of Hebei University of Chinese Medicine, Hebei Province Hospital of Chinese Medicine, Key Laboratory of Integrated Chinese and Western Medicine for Gastroenterology Research, Hebei Industrial Technology Institute for Traditional Chinese Medicine Preparation, No. 389 Zhongshan East Road, Chang’an District, Shijiazhuang 050000, Hebei Province, China. 258289951@qq.com |
| Key Words |
Malignant tumors; Artificial intelligence; Precision medicine; Integrated traditional Chinese medicine and western medicine; Modernization of traditional Chinese medicine |
| Core Tip |
Advances in artificial intelligence (AI) offer novel research strategies and promising applications for the precision diagnosis and treatment of cancer within the framework of integrated traditional Chinese medicine (TCM) and Western medicine. Through the systematic integration and deep mining of multimodal data spanning molecular biology, medical imaging, clinical pathology, and TCM syndromes, AI may help reveal the complex relationships between tumor heterogeneity and the host’s overall physiological state. This, in turn, may facilitate the development of a new integrative oncology paradigm that combines disease diagnosis with syndrome differentiation and unifies holistic concepts with individualized interventions, thereby supporting improved clinical efficacy, optimized therapeutic decision-making, and the realization of precision medicine. |
| Citation |
Qiao C, Han YT, Zhan JP, Yuan J, Tian XT, Jiao YC, Li HW, Wu LY, Li C, He YX, Li DH. Artificial Intelligence empowering precision oncology: The convergence and innovation of traditional Chinese medicine and Western medicine wisdom. Artif Intell Cancer 2026; In press
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| PDF |
121344-in-press.pdf
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Received |
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2026-03-23 07:41 |
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Peer-Review Started |
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2026-03-23 07:42 |
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First Decision by Editorial Office Director |
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2026-04-22 10:57 |
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Return for Revision |
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2026-04-22 10:57 |
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Revised |
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2026-05-06 07:18 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-06-08 02:40 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-06-08 06:24 |
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Articles in Press |
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2026-06-08 06:24 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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| 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: http://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
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