Development Strategy of Chinese and Western Integrative Medicine Under New Circumstances

Wang, Conghui; Feng, Zhe; Yin, Zhiwei; Li, Shuang; Chen, Xiangmei

doi:10.15302/j-sscae-2021.02.016

Cited by 3 publications

(2 citation statements)

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“…Integration of CM and Western medicine (WM) in diagnosis and treatment The integration of CM-WM is a fundamental guiding principle in China's health care system. [17] It has been applied normally in the clinical practice of diagnosis and treatment. In the CM-WM diagnostic pattern, the 4 diagnostic methods of CM are conducted as well as the Western medical examination techniques, providing a disease-syndrome diagnosis.…”

Section: Development In Parallel and Interwovenmentioning

confidence: 99%

Roadmap for modern development of Chinese medicine: Traditional, evidence-based, and digital-intelligent paths

Zhang,

et al. 2023

Sci Tradit Chin Med

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Accelerating the modernization of Chinese medicine (CM) is the focus of CM development in the new era. Looking back over the past 50 years, CM has progressed along traditional, evidence-based, and digital-intelligent paths. These paths have intertwined and mutually propelled the advancement of CM modernization. This article analyzes the patterns of 3 paths, summarizes the current status of CM development along these paths, and presents a vision for future development.

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Section: Development In Parallel and Interwovenmentioning

confidence: 99%

Roadmap for modern development of Chinese medicine: Traditional, evidence-based, and digital-intelligent paths

Zhang,

et al. 2023

Sci Tradit Chin Med

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“…Integrated TCM and WM focuses on integrating the advantages of TCM with WM and avoiding their disadvantages, reflecting the combination of a holistic view and systems biology, individualization and precision medicine. The discipline of integrated TCM and WM uses modern language to clarify the scientific connotation of TCM, and provides the possibility for the evidence-based optimization of "standardized production of evidence" and "accurate differentiation of syndromes", as well as the language translation of organic integration of TCM and WM and the mutual recognition of results [ 1 , 8 , 9 ]. The guidelines for integrated TCM and WM should not be a simple superposition or piling up of pieces of evidence and recommendations of WM and TCM, but a deep organic integration of the advantages of both TCM and WM based on clinical diagnosis and treatment pathways.…”

Section: Introductionmentioning

confidence: 99%

Research on the development methodology for clinical practice guidelines for organic integration of traditional Chinese and Western medicine

Jin,

Wang,

Xie

et al. 2023

Military Med Res

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Integrated traditional Chinese medicine (TCM) and Western medicine (WM) is a new medical science grounded in the knowledge bases of both TCM and WM, which then forms a unique modern medical system in China. Integrated TCM and WM has a long history in China, and has made important achievements in the process of clinical diagnosis and treatment. However, the methodological defects in currently published clinical practice guidelines limit its development. The organic integration of TCM and WM is a deeper integration of TCM and WM. To realize the progression of "integration" to "organic integration", a targeted and standardized guideline development methodology is needed. Therefore, the purpose of this study is to establish a standardized development procedure for clinical practice guidelines for the organic integration of TCM and WM to promote the systematic integration of TCM and WM research results into clinical practice guidelines in order to achieve optimal results as the whole is greater than the sum of the parts.

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Soybean Seedling Root Segmentation Using Improved U-Net Network

Qiu

Zhang

et al. 2022

Sensors

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Soybean seedling root morphology is important to genetic breeding. Root segmentation is a key technique for identifying root morphological characteristics. This paper proposed a semantic segmentation model of soybean seedling root images based on an improved U-Net network to address the problems of the over-segmentation phenomenon, unsmooth root edges and root disconnection, which are easily caused by background interference such as water stains and noise, as well as inconspicuous contrast in soybean seedling images. Soybean seedling root images in the hydroponic environment were collected for annotation and augmentation. A double attention mechanism was introduced in the downsampling process, and an Attention Gate mechanism was added in the skip connection part to enhance the weight of the root region and suppress the interference of background and noise. Then, the model prediction process was visually interpreted using feature maps and class activation mapping maps. The remaining background noise was removed by connected component analysis. The experimental results showed that the Accuracy, Precision, Recall, F1-Score and Intersection over Union of the model were 0.9962, 0.9883, 0.9794, 0.9837 and 0.9683, respectively. The processing time of an individual image was 0.153 s. A segmentation experiment on soybean root images was performed in the soil-culturing environment. The results showed that this proposed model could extract more complete detail information and had strong generalization ability. It can achieve accurate root segmentation in soybean seedlings and provide a theoretical basis and technical support for the quantitative evaluation of the root morphological characteristics in soybean seedlings.

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Development Strategy of Chinese and Western Integrative Medicine Under New Circumstances

Cited by 3 publications

References 0 publications

Roadmap for modern development of Chinese medicine: Traditional, evidence-based, and digital-intelligent paths

Roadmap for modern development of Chinese medicine: Traditional, evidence-based, and digital-intelligent paths

Research on the development methodology for clinical practice guidelines for organic integration of traditional Chinese and Western medicine

Soybean Seedling Root Segmentation Using Improved U-Net Network

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