Front. Pharmacol. Frontiers in Pharmacology Front. Pharmacol. 1663-9812 Frontiers Media S.A. 1788574 10.3389/fphar.2026.1788574 Correction Correction: AI-assisted literature exploration of innovative Chinese medicine formulas Chung et al. 10.3389/fphar.2026.1788574 Chung Meng-Chi 1 Validation Project administration Data curation Methodology Formal Analysis Investigation Software Conceptualization Writing - review and editing Writing - original draft Su Li-Jen 1 2 3 4 5 Writing - review and editing Writing - original draft Chen Chien-Lin 4 6 7 Writing - review and editing Resources Writing - original draft Formal Analysis Conceptualization Wu Li-Ching 1 2 * Project administration Methodology Writing - review and editing Formal Analysis Supervision Conceptualization Writing - original draft Investigation Data curation Resources Funding acquisition Software Department of Biomedical Science and Engineering, National Central University (NCU), Jhong-Li City, Taiwan Education and Research Center for Technology Assisted Substance Abuse Prevention and Management, National Central University (NCU), Taoyuan, Taiwan Core Facilities for High Throughput Experimental Analysis, Department of Biomedical Sciences and Engineering, National Central University (NCU), Taoyuan, Taiwan IIHMED Reproductive Center, Taipei, Taiwan Tian Medicine Phamaceutical Company Ltd., Taipei, Taiwan School of Post-Baccalaureate Chinese Medicine, Tzu Chi University, Hualien, Taiwan Department of Health Promotion and Health Education, National Taiwan Normal University, Taipei, Taiwan Correspondence: Li-Ching Wu, nculcwu@gmail.com 09 02 2026 2026 17 1788574 15 01 2026 20 01 2026 Copyright © 2026 Chung, Su, Chen and Wu. 2026 Chung, Su, Chen and Wu https://creativecommons.org/licenses/by/4.0/ 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. 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 text annotation tool TCM text mining extraction TCM LSTM generative model section-at-acceptance Ethnopharmacology

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.

Infographic illustrating a workflow for analyzing classical Traditional Chinese Medicine (TCM) texts, showing electronic text collection and keyword extraction, followed by data mining and artificial intelligence methods, leading to network analysis and potential identification of new formulas.

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.

Chart A is a bar graph labeled "Formula Keyword Extraction" showing five different formula sources, with "Pu-Ji Fang" having the highest keyword count of 14,956, much higher than the others. Chart B is a bar graph labeled "Herbs Keyword Extraction" comparing four herb sources, with "Sheng Ji Zong Lu" having the highest count at 2,925, followed by "Dictionary of Chinese Medicine" and "Pu-Ji Fang." Chart C is a Venn diagram displaying overlap in key terms among five Chinese medicine formula sources. Chart D is a Venn diagram displaying overlap in key terms among four Chinese medicine herb sources.

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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