scholarly journals Breathing Signature as Vitality Score Index Created by Exercises of Qigong: Implications of Artificial Intelligence Tools Used in Traditional Chinese Medicine

2019 ◽  
Vol 4 (4) ◽  
pp. 71
Author(s):  
Junjie Zhang ◽  
Qingning Su ◽  
William G. Loudon ◽  
Katherine L. Lee ◽  
Jane Luo ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Holistic Approach ◽  
Medical Intervention ◽  
Learning Technology ◽  
Lifestyle Behaviors ◽  
Breathing Patterns ◽  
Current State ◽  
Score Index

Rising concerns about the short- and long-term detrimental consequences of administration of conventional pharmacopeia are fueling the search for alternative, complementary, personalized, and comprehensive approaches to human healthcare. Qigong, a form of Traditional Chinese Medicine, represents a viable alternative approach. Here, we started with the practical, philosophical, and psychological background of Ki (in Japanese) or Qi (in Chinese) and their relationship to Qigong theory and clinical application. Noting the drawbacks of the current state of Qigong clinic, herein we propose that to manage the unique aspects of the Eastern ‘non-linearity’ and ‘holistic’ approach, it needs to be integrated with the Western “linearity” “one-direction” approach. This is done through developing the concepts of “Qigong breathing signatures,” which can define our life breathing patterns associated with diseases using machine learning technology. We predict that this can be achieved by establishing an artificial intelligence (AI)-Medicine training camp of databases, which will integrate Qigong-like breathing patterns with different pathologies unique to individuals. Such an integrated connection will allow the AI-Medicine algorithm to identify breathing patterns and guide medical intervention. This unique view of potentially connecting Eastern Medicine and Western Technology can further add a novel insight to our current understanding of both Western and Eastern medicine, thereby establishing a vitality score index (VSI) that can predict the outcomes of lifestyle behaviors and medical conditions.

scholarly journals An Ontology-Based Artificial Intelligence Model for Medicine Side-Effect Prediction: Taking Traditional Chinese Medicine as an Example

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Yuanzhe Yao ◽  
Zeheng Wang ◽  
Liang Li ◽  
Kun Lu ◽  
Runyu Liu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Prediction Model ◽  
Side Effect ◽  
Treatment Model ◽  
Proposed Model ◽  
Main Components

In this work, an ontology-based model for AI-assisted medicine side-effect (SE) prediction is developed, where three main components, including the drug model, the treatment model, and the AI-assisted prediction model, of the proposed model are presented. To validate the proposed model, an ANN structure is established and trained by two hundred forty-two TCM prescriptions. These data are gathered and classified from the most famous ancient TCM book, and more than one thousand SE reports, in which two ontology-based attributions, hot and cold, are introduced to evaluate whether the prescription will cause SE or not. The results preliminarily reveal that it is a relationship between the ontology-based attributions and the corresponding predicted indicator that can be learnt by AI for predicting the SE, which suggests the proposed model has a potential in AI-assisted SE prediction. However, it should be noted that the proposed model highly depends on the sufficient clinic data, and hereby, much deeper exploration is important for enhancing the accuracy of the prediction.

Anti-aging Effects of The Traditional Chinese Medicine Bu-Zhong-Yi-Qi-Tang in Mice

2000 ◽  
Vol 28 (01) ◽  
pp. 77-86 ◽  
Author(s):  
Hung-Che Shih ◽  
Kaung-Hsiung Chang ◽  
Fang-Lung Chen ◽  
Chiu-Mei Chen ◽  
Shu-Chen Chen ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Motor Coordination ◽  
Holistic Approach ◽  
High Dose ◽  
Dependent Manner ◽  
Aging Effects ◽  
Icr Mice ◽  
Alternative Medicines ◽  
Improved Performance

Among the "alternative medicines," which may ably supplement modern Western medicine in the treatment of certain diseases, the holistic approach and mild nature of the majority of Traditional Chinese Medicine (TCM) may make it particularly suitable for the treatment of diseases associated with old age, as the general health of elderly patients is already compromised. The TCM formulation of Bu-Zhong-Yi-Qi-Tang (B.Z.Y.Q.T.), prescribed mainly for the improvement of circulation and in particular that to the gastroenteric regions, may have anti-aging effects. In the present study, possible anti-aging effects of B.Z.Y.Q.T. were studied using normal (ICR) mice and the Dull, P/8 and R/1 strains of the Senescence Accelerated Mouse (S.A.M.). Following repeated oral administrations of B.Z.Y.Q.T. at 250 and 500 mg/kg the test mice were assessed for (1) endurance (2) learning and memory (3) neuromuscular coordination and (4) changes in the levels of monoamines in the brain. The results indicated that B.Z.Y.Q.T. improved endurance in all strains in a dose-dependent manner. At the higher dose of 500 mg/kg, it improved memory in the R/1 and P/8 S.A.M. mice. In prolonged rota-rod tests, which assessed both motor coordination and endurance, B.Z.Y.Q.T. significantly improved performance in the P/8 S.A.M. mice. Elevated dopamine and noradrenaline were observed in cortical tissues of the S.A.M./Dull and ICR mice respectively with the high dose of 500 mg/kg, B.Z.Y.Q.T. Taken together, the results indicated that B.Z.Y.Q.T. appeared to exert anti-aging effects in mice and elevation in certain monoamines in brain cortical tissues. How and whether the monoamines changes after B.Z.Y.Q.T. treatment might be related to the behavioral effects await further investigation.

The Impact of Artificial Intelligence on Traditional Chinese Medicine

2021 ◽  
pp. 1-18
Author(s):  
Yulin Wang ◽  
Xiuming Shi ◽  
Li Li ◽  
Thomas Efferth ◽  
Dong Shang
Keyword(s):  
Artificial Intelligence ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Modern Science ◽  
Diagnostic Methods ◽  
Digital Data ◽  
Syndrome Differentiation ◽  
Efficacy Evaluation ◽  
Combination Rules ◽  
The Impact

Traditional Chinese Medicine (TCM) is a well-established medical system with a long history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including TCM. AI will significantly improve the reliability and accuracy of diagnostics, thus increasing the use of effective therapeutic methods for patients. This systematic review provides an updated overview on the major breakthroughs in the field of AI-assisted TCM four diagnostic methods, syndrome differentiation, and treatment. AI-assisted TCM diagnosis is mainly based on digital data collected by modern electronic instruments, which makes TCM diagnosis more quantitative, objective, and standardized. As a result, the diagnosis decisions made by different TCM doctors exhibit more consistency, accuracy, and reliability. Meanwhile, the therapeutic efficacy of TCM can be evaluated objectively. Therefore, AI is promoting TCM from experience to evidence-based medicine, a genuine scientific revolution. Furthermore, huge and non-uniform knowledge on formula-syndrome relationships and the combination rules of herbal TCM formulae could be better standardized with the help of AI analysis, which is necessary for the clinical efficacy evaluation and further optimization on the standardized TCM formulae. AI bridges the gap between TCM and modern science and technology. AI may bring clinical TCM diagnostics closer to western medicine. With the help of AI, more scientific evidence about TCM will be discovered. It can be expected that more unified guidelines for specific TCM syndromes will be issued with the development of AI-assisted TCM therapies in the future.

Treatment of Diabetes Using Traditional Chinese Medicine: Past, Present and Future

2012 ◽  
Vol 40 (05) ◽  
pp. 877-886 ◽  
Author(s):  
Xiao-Lin Tong ◽  
Liu Dong ◽  
Liang Chen ◽  
Zhong Zhen
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Herbal Medicines ◽  
Basic Research ◽  
Holistic Approach ◽  
Medical Problem ◽  
The Past ◽  
Chinese Herbal ◽  
Treatment Of Diabetes ◽  
Tcm Theory

Diabetes is a major medical problem that imperils public health. Over two thousand years ago, Traditional Chinese Medicine (TCM) called diabetes-related symptoms "Xiaoke" disease. In ancient China, TCM and Chinese herbal medicines were used widely in treating Xiaoke and abundant experience has been accumulated. This article discusses the TCM theory on diabetes and its achievements in the prevention and treatment of diabetes in the past. Using Chinese herbal medicine, recent progress in diabetes therapeutics, including data from clinical trials, are presented. Mechanistic studies from basic research are discussed. Yin-yang balance and a holistic approach of TCM may complement diabetes treatment in Western medicine. With continuous efforts, TCM could play a more important role in fighting this disease.

scholarly journals Artificial intelligence meets traditional Chinese medicine: a bridge to opening the magic box of sphygmopalpation for pulse pattern recognition

2021 ◽  
Vol 4 (1) ◽  
pp. 1-8
Author(s):  
Leung Yeuk-Lan Alice ◽  
Guan Binghe ◽  
Chen Shuang ◽  
Chan Hoyin ◽  
Kong Kawai ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Pattern Recognition ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine
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