Considerations on intervention goal and efficacy evaluation of traditional Chinese medicine in the treatment of neurological diseases

2007 ◽  
Vol 13 (2) ◽  
pp. 148-151 ◽  
Author(s):  
Ren-ming Xie ◽  
Bao-xin Du ◽  
Yan Huang ◽  
Dao-you Zhou ◽  
yong-yan Wang ◽  
...  
2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Zefeng Wang ◽  
Haitong Wan ◽  
Jinhui Li ◽  
Hong Zhang ◽  
Mei Tian

With the speeding tendency of aging society, human neurological disorders have posed an ever increasing threat to public health care. Human neurological diseases include ischemic brain injury, Alzheimer’s disease, Parkinson’s disease, and spinal cord injury, which are induced by impairment or specific degeneration of different types of neurons in central nervous system. Currently, there are no more effective treatments against these diseases. Traditional Chinese medicine (TCM) is focused on, which can provide new strategies for the therapy in neurological disorders. TCM, including Chinese herb medicine, acupuncture, and other nonmedication therapies, has its unique therapies in treating neurological diseases. In order to improve the treatment of these disorders by optimizing strategies using TCM and evaluate the therapeutic effects, we have summarized molecular imaging, a new promising technology, to assess noninvasively disease specific in cellular and molecular levels of living models in vivo, that was applied in TCM therapy for neurological diseases. In this review, we mainly focus on applying diverse molecular imaging methodologies in different TCM therapies and monitoring neurological disease, and unveiling the mysteries of TCM.


Author(s):  
Yulin Wang ◽  
Xiuming Shi ◽  
Li Li ◽  
Thomas Efferth ◽  
Dong Shang

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.


2021 ◽  
Vol 5 (6) ◽  
pp. 78-82
Author(s):  
Long He ◽  
Honglong Wu ◽  
Anlai Liu ◽  
Meikui Zhang

Acupuncture is a traditional Chinese medicine therapy originated in China. In recent years, acupuncture is widely used in the field of neurological diseases, especially in the acute stage of stroke. Its mechanism of action is becoming clearer; one of the possible mechanisms is its bidirectional benign regulation.


2020 ◽  
Vol 4 (4) ◽  
Author(s):  
Ningyi Wei ◽  
Mei Yang ◽  
Lingzhi Zeng ◽  
Yuanyuan Zuo

Acupuncture has been popular in foreign countries in recent years, especially in the treatment of neck pain, lower back pain, and other neurological diseases. As a result, many countries have started to invite TCM teachers from China to train their medical workers in Traditional Chinese Medicine (Acupuncture). The teaching of Traditional Chinese Medicine (Acupuncture and Moxibustion) in Myanmar has been carried out for 2 years. Through the feedback from students in the teaching process, this paper analyzes and summarizes the problems in the hope of drawing on and developing the overseas teaching system of traditional Chinese medicine in the future.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jie Zhang ◽  
Zong-Ming Zhang

The ethical review of TCM (traditional Chinese medicine) clinical research in China is highly consistent with that of Western medicine, but it lacks the characteristics and culture of TCM. Compared with modern medicine, TCM has its own characteristics, such as the theory of Yin-Yang and the five elements, the treatment of syndrome differentiation, and the compatibility of prescriptions. These characteristics determine the ethical particularity of TCM clinical research. This article discusses the challenges in the ethical review of TCM clinical research, such as scientific design, efficacy evaluation, risk assessment, informed consent, and placebo use. We propose opportunities and difficulties in the ethical review of TCM clinical research and provide some relevant suggestions.


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