Meng-Chi Chung
Li-Jen Su
Chien-Lin Chen4,6,7
Li-Ching Wu- 1Department of Biomedical Science and Engineering, National Central University (NCU), Jhong-Li City, Taiwan
- 2Education and Research Center for Technology Assisted Substance Abuse Prevention and Management, National Central University (NCU), Taoyuan, Taiwan
- 3Core Facilities for High Throughput Experimental Analysis, Department of Biomedical Sciences and Engineering, National Central University (NCU), Taoyuan, Taiwan
- 4IIHMED Reproductive Center, Taipei, Taiwan
- 5Tian Medicine Phamaceutical Company Ltd., Taipei, Taiwan
- 6School of Post-Baccalaureate Chinese Medicine, Tzu Chi University, Hualien, Taiwan
- 7Department of Health Promotion and Health Education, National Taiwan Normal University, Taipei, Taiwan
A Correction on
AI-assisted literature exploration of innovative Chinese medicine formulas
by Chung M-C, Su L-J, Chen C-L and Wu L-C (2024). Front. Pharmacol. 15:1347882. doi: 10.3389/fphar.2024.1347882
There was a mistake in the Graphical Abstract and Figure 5C as published. The name of a referenced tool was incorrectly written with the Chinese character “德” instead of the correct character “得.” The incorrect spelling “世醫德效方” is corrected to “世醫得效方.” The corrected Graphical abstract and Figure 5 appear below.
GRAPHICAL ABSTRACT
Figure 5. Histograms and union charts showing the number of keywords from various TCM texts. (A) Histogram depicting keyword counts in formulas; (B) Histogram illustrating keyword counts in herbs; (C) Union charts representing formula occurrences across various TCM texts; (D) Union charts displaying herb occurrences across various TCM texts.
In the published article, there was a spelling error in the name of a referenced tool. The character “德” was erroneously used instead of “得.” The incorrect spelling “世醫德效方” is corrected to “世醫得效方.”
A correction has been made to the Section 2 Materials and methods, 2.1 Data collection and corpus building, Paragraph Number 3.
“Ancient Chinese medicine e-books were sourced from Wikipedia, including Pu-Ji Fang (普濟方), Ben Cao Bei Yao (本草備要), Sheng Ji Zong Lu (聖濟總錄), Shi Yi De Xiao Fang (世醫得效方), Taiping Sheng Hui Fang (太平聖惠方), Bei Ji Qian Jin Yao Fang (備急千金要方), and Zhou Hou Bei Ji Fang (肘後備急方), for text analysis and keyword refinement.”
The original article has been updated.
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Keywords: text annotation tool, TCM, text mining, extraction, TCM LSTM generative model
Citation: Chung M-C, Su L-J, Chen C-L and Wu L-C (2026) Correction: AI-assisted literature exploration of innovative Chinese medicine formulas. Front. Pharmacol. 17:1788574. doi: 10.3389/fphar.2026.1788574
Received: 15 January 2026; Accepted: 20 January 2026;
Published: 09 February 2026.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2026 Chung, Su, Chen and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Li-Ching Wu, bmN1bGN3dUBnbWFpbC5jb20=