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9/2/2026 6:35:31 AM | Browse: 1 | Download: 0
Publication Name Artificial Intelligence in Cancer
Manuscript ID 121344
Country China
Received
2026-03-23 07:41
Peer-Review Started
2026-03-23 07:42
First Decision by Editorial Office Director
2026-04-22 10:57
Return for Revision
2026-04-22 10:57
Revised
2026-05-06 07:18
Publication Fee Transferred
Second Decision by Editor
2026-06-08 02:40
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-06-08 06:24
Articles in Press
2026-06-08 06:24
Edit the Manuscript by Language Editor
Typeset the Manuscript
2026-09-01 00:19
Publish the Manuscript Online
2026-09-02 06:35
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.
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 Oncology
Manuscript Type Minireviews
Article Title Artificial intelligence empowering precision oncology: The convergence and innovation of traditional Chinese medicine and Western medicine wisdom
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
ORCID
Author(s) ORCID Number
De-Hui Li http://orcid.org/0000-0001-7963-9410
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
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.
Publish Date 2026-09-02 06:35
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; 7(1): 121344

URL https://www.wjgnet.com/2644-3228/full/v7/i1/121344.htm
DOI https://doi.org/10.35713/aic.121344
Full Article (PDF) AIC-7-121344-with-cover.pdf
Manuscript File 121344_Auto_Edited_025216.docx
Answering Reviewers 121344-answering-reviewers.pdf
Audio Core Tip 121344-audio.m4a
Conflict-of-Interest Disclosure Form 121344-conflict-of-interest-statement.pdf
Copyright License Agreement 121344-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 121344-non-native-speakers.pdf
Supplementary Material 121344-supplementary-material.zip
Peer-review Report 121344-peer-reviews.pdf
Scientific Misconduct Check 121344-scientific-misconduct-check.png
CrossCheck Report 121344-crosscheck-report.pdf