Integrating domain knowledge for biomedical text analysis into deep learning: A survey

L Cai, J Li, H Lv, W Liu, H Niu, Z Wang - Journal of Biomedical Informatics, 2023 - Elsevier
The past decade has witnessed an explosion of textual information in the biomedical field.
Biomedical texts provide a basis for healthcare delivery, knowledge discovery, and decision …

[HTML][HTML] Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review

E Zhou, Q Shen, Y Hou - Frontiers in Pharmacology, 2024 - frontiersin.org
Traditional Chinese medicine (TCM) is the practical experience and summary of the
Chinese nation for thousands of years. It shows great potential in treating various chronic …

[HTML][HTML] Opportunities and challenges of traditional Chinese medicine doctors in the era of artificial intelligence

W Li, X Ge, S Liu, L Xu, X Zhai, L Yu - Frontiers in Medicine, 2024 - frontiersin.org
With the exponential advancement of artificial intelligence (AI) technology, the realm of
medicine is experiencing a paradigm shift, engendering a multitude of prospects and trials …

[HTML][HTML] Systems Theory-Driven Framework for AI Integration into the Holistic Material Basis Research of Traditional Chinese Medicine

J Zeng, X Jia - Engineering, 2024 - Elsevier
This research introduces a systems theory-driven framework to integration artificial
intelligence (AI) into traditional Chinese medicine (TCM) research, enhancing the …

[HTML][HTML] A practical guide to implementing artificial intelligence in traditional East Asian medicine research

H Bae, SY Park, CE Kim - Integrative Medicine Research, 2024 - Elsevier
In this paper, we present a comprehensive guide for implementing artificial intelligence (AI)
techniques in traditional East Asian medicine (TEAM) research. We cover essential aspects …

Tcm prescription generation via knowledge source guidance network combined with herbal candidate mechanism

J Hou, P Song, Z Zhao, Y Qiang… - … Methods in Medicine, 2023 - Wiley Online Library
Traditional Chinese medicine (TCM) prescriptions have made great contributions to the
treatment of diseases and health preservation. To alleviate the shortage of TCM resources …

[HTML][HTML] Chinmedomics: a potent tool for the evaluation of traditional Chinese medicine efficacy and identification of its active components

M Wang, F Yin, L Kong, L Yang, H Sun, Y Sun, G Yan… - Chinese Medicine, 2024 - Springer
As an important part of medical science, Traditional Chinese Medicine (TCM) attracts much
public attention due to its multi-target and multi-pathway characteristics in treating diseases …

TCM-KDIF: An Information Interaction Framework Driven by Knowledge-Data and Its Clinical Application in Traditional Chinese Medicine

Z Liu, J Yang, K Chen, T Yang, X Li, B Lu… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The effectiveness of traditional Chinese medicine (TCM) has been proved by various
researches in decades, especially in the COVID-19 pandemic. Numerous TCM-AI …

TLDA: A transfer learning based dual-augmentation strategy for traditional Chinese Medicine syndrome differentiation in rare disease

X Li, K Chen, J Yang, C Wang, T Yang, C Luo… - Computers in Biology …, 2024 - Elsevier
Abstract The Traditional Chinese Medicine (TCM) has demonstrated its significant medical
value over the decades, particularly during the COVID-19 pandemic. TCM-AI …

[HTML][HTML] Prediction of traditional Chinese medicine prescriptions based on multi-label resampling

X Jiang, S Wang, W Liu, Y Yang - Journal of Electronic Business & …, 2023 - emerald.com
Purpose Traditional Chinese medicine (TCM) prescriptions have always relied on the
experience of TCM doctors, and machine learning (ML) provides a technical means for …