Background: Although a number of studies have reported that the hot and humid compress from traditional Chinese medicine (TCM) is effective in treating lumbar disc herniation (LDH) with qi stagnation and blood stasis,...Background: Although a number of studies have reported that the hot and humid compress from traditional Chinese medicine (TCM) is effective in treating lumbar disc herniation (LDH) with qi stagnation and blood stasis, clinical evidence is limited. Objective: The purpose of this study is to provide high-quality evidence to support the effectiveness of the traditional Chinese hot and humid compress in the treatment of LDH with qi stagnation and blood stasis. Methods: From October 2021 to November 2023, 86 patients with LDH of qi stagnation and blood stasis type were recruited in our hospital and divided into a control (n = 43) and an observation group (n = 43) according to the random number table method. The control group was given routine clinical treatment, and the observation group was treated with the hot and humid compress therapy for two weeks. The visual analogue scale (VAS) score, Japanese Orthopaedic Association (JOA) score, TCM syndrome score, serum interleukin-6 (IL-6), serum interleukin-1β (IL-1β), and tumor necrosis factor-α (TNF-α) were observed and compared between the two groups before and after treatment, and the clinical efficacy of the two groups was evaluated. Results: After treatment, the VAS score, TCM symptom score, and serum IL-6, IL-1β, and TNF-α levels decreased in both groups (P P P P P Conclusions: The hot and humid compress of traditional Chinese medicine can effectively relieve pain, restore lumbar function, improve TCM syndromes, reduce the level of inflammatory factors, and have a curative effect in treating LDH.展开更多
AIM:To develop a classifier for traditional Chinese medicine(TCM)syndrome differentiation of diabetic retinopathy(DR),using optimized machine learning algorithms,which can provide the basis for TCM objective and intel...AIM:To develop a classifier for traditional Chinese medicine(TCM)syndrome differentiation of diabetic retinopathy(DR),using optimized machine learning algorithms,which can provide the basis for TCM objective and intelligent syndrome differentiation.METHODS:Collated data on real-world DR cases were collected.A variety of machine learning methods were used to construct TCM syndrome classification model,and the best performance was selected as the basic model.Genetic Algorithm(GA)was used for feature selection to obtain the optimal feature combination.Harris Hawk Optimization(HHO)was used for parameter optimization,and a classification model based on feature selection and parameter optimization was constructed.The performance of the model was compared with other optimization algorithms.The models were evaluated with accuracy,precision,recall,and F1 score as indicators.RESULTS:Data on 970 cases that met screening requirements were collected.Support Vector Machine(SVM)was the best basic classification model.The accuracy rate of the model was 82.05%,the precision rate was 82.34%,the recall rate was 81.81%,and the F1 value was 81.76%.After GA screening,the optimal feature combination contained 37 feature values,which was consistent with TCM clinical practice.The model based on optimal combination and SVM(GA_SVM)had an accuracy improvement of 1.92%compared to the basic classifier.SVM model based on HHO and GA optimization(HHO_GA_SVM)had the best performance and convergence speed compared with other optimization algorithms.Compared with the basic classification model,the accuracy was improved by 3.51%.CONCLUSION:HHO and GA optimization can improve the model performance of SVM in TCM syndrome differentiation of DR.It provides a new method and research idea for TCM intelligent assisted syndrome differentiation.展开更多
Breast cancer (BC) is the most common malignant tumor in women. Around 50% of BC receptor-positive patients are hormone-dependent cases, and it is necessary for them to use endocrine after operation. Through inhibitio...Breast cancer (BC) is the most common malignant tumor in women. Around 50% of BC receptor-positive patients are hormone-dependent cases, and it is necessary for them to use endocrine after operation. Through inhibition of estrogen level展开更多
BACKGROUND A patient with type Ⅲ Kummell’s disease had a ruptured posterior cortex of the fractured vertebral body, which caused spinal cord compression. An open surgery was considered the best choice of operation. ...BACKGROUND A patient with type Ⅲ Kummell’s disease had a ruptured posterior cortex of the fractured vertebral body, which caused spinal cord compression. An open surgery was considered the best choice of operation. However, the patient and her family refused open surgery and instead demanded a minimally invasive surgical treatment such as percutaneous vertebroplasty(PVP). After preoperative discussion, we finally adopted the novel therapy of traditional Chinese medicine manipulative reduction(TCMMR) combined with PVP.CASE SUMMARY A patient with type Ⅲ Kummell’s disease exhibiting bone block-induced spinal cord compression was admitted to our hospital. She suffered from a variety of medical disorders but refused open surgery, and instead asked for PVP surgery. TCMMR, in parallel with PVP, was used to restore the height of the compressed vertebral body and reduce the symptoms of spinal cord compression by the bone block in order to strengthen the vertebral body and prevent further collapse. The surgery was very successful. The height of the compressed vertebra was restored, and the symptom of spinal cord compression by bone block was reduced successfully via TCMMR. The fractured vertebra was solidified by the PVP. The pain visual analog score declined from preoperative 7 scores to postoperative 2 scores, and the Frankel spinal cord scale increased from preoperative D degree to postoperative E degree.CONCLUSION The new method has advantages in treating patients with type Ⅲ Kummell’s disease who cannot be treated with open surgery.展开更多
Tongue diagnosis is an important process to non-invasively assess the condition of a patient’s internal organs in traditional Chinese medicine(TCM)and each part of the tongue is related to corresponding internal orga...Tongue diagnosis is an important process to non-invasively assess the condition of a patient’s internal organs in traditional Chinese medicine(TCM)and each part of the tongue is related to corresponding internal organs.Due to continuing computer technological advances,especially the artificial intelligence(AI)methods have achieved significant success in tackling tongue image acquisition,processing,and classification,novel AI methods are being introduced in traditional Chinese medicine tongue diagnosis medical practices.Traditional tongue diagnose depends on observations of tongue characteristics,such as color,shape,texture,moisture,etc.by traditional Chinese medicine physicians.The appearance of the tongue color,texture and coating reflects the improvement or deterioration of patient’s conditions.Moreover,AI can now distinguish patient’s condition through tongue images,texture or coating,which is all possible increasingly with help from traditional Chinese medicine physicians under the traditional Chinese medicine tongue theory.AI has enabled humans to do what was previously unimagined:traditional Chinese medicine tongue diagnosis with feeding a large amount of tongue image and tongue texture/coating data to train the AI modes.This review focuses on the research advances of AI in TCM tongue diagnosis thus far to identify the major scientific methods and prospects.In this article,we tried to review the AI application in resolving the tongue diagnosis of traditional Chinese medicine on color correction,tongue image extraction,tongue texture/coating segmentation.展开更多
Compared with western medicine, there are many complicated factors affecting the intrinsic quality of traditional Chinese medicine, because its production needs to be planted, harvested, processed, transported, stored...Compared with western medicine, there are many complicated factors affecting the intrinsic quality of traditional Chinese medicine, because its production needs to be planted, harvested, processed, transported, stored, and sold, etc. Therefore, the internet of things is integrated into the traceability of traditional Chinese medicine, and its key technologies are studied. An XMLbased traceability information exchange model was constructed for traditional Chinese medicine and modeled the traceability process by the finite state machine (FSM). Furthermore, the specific electronic product code (EPC) coding scheme of traditional Chinese medicine was proposed based on the EPC coding structure model. Finally, the effectiveness of the above models and schemes is verified by an example of a traditional Chinese medicine traceability prototype system.展开更多
Cardiovascular diseases(CVDs)are major disease burdens with high mortality worldwide.Early prediction of cardiovascular events can reduce the incidence of acute myocardial infarction and decrease the mortality rates o...Cardiovascular diseases(CVDs)are major disease burdens with high mortality worldwide.Early prediction of cardiovascular events can reduce the incidence of acute myocardial infarction and decrease the mortality rates of patients with CVDs.The pathological mechanisms and multiple factors involved in CVDs are complex;thus,traditional data analysis is insufficient and inefficient to manage multidimensional data for the risk prediction of CVDs and heart attacks,medical image interpretations,therapeutic decision-making,and disease prognosis prediction.Meanwhile,traditional Chinese medicine(TCM)has been widely used for treating CVDs.TCM offers unique theoretical and practical applications in the diagnosis and treatment of CVDs.Big data have been generated to investigate the scientific basis of TCM diagnostic methods.TCM formulae contain multiple herbal items.Elucidating the complicated interactions between the active compounds and network modulations requires advanced data-analysis capability.Recent progress in artificial intelligence(AI)technology has allowed these challenges to be resolved,which significantly facilitates the development of integrative diagnostic and therapeutic strategies for CVDs and the understanding of the therapeutic principles of TCM formulae.Herein,we briefly introduce the basic concept and current progress of AI and machine learning(ML)technology,and summarize the applications of advanced AI and ML for the diagnosis and treatment of CVDs.Furthermore,we review the progress of AI and ML technology for investigating the scientific basis of TCM diagnosis and treatment for CVDs.We expect the application of AI and ML technology to promote synergy between western medicine and TCM,which can then boost the development of integrative medicine for the diagnosis and treatment of CVDs.展开更多
文摘Background: Although a number of studies have reported that the hot and humid compress from traditional Chinese medicine (TCM) is effective in treating lumbar disc herniation (LDH) with qi stagnation and blood stasis, clinical evidence is limited. Objective: The purpose of this study is to provide high-quality evidence to support the effectiveness of the traditional Chinese hot and humid compress in the treatment of LDH with qi stagnation and blood stasis. Methods: From October 2021 to November 2023, 86 patients with LDH of qi stagnation and blood stasis type were recruited in our hospital and divided into a control (n = 43) and an observation group (n = 43) according to the random number table method. The control group was given routine clinical treatment, and the observation group was treated with the hot and humid compress therapy for two weeks. The visual analogue scale (VAS) score, Japanese Orthopaedic Association (JOA) score, TCM syndrome score, serum interleukin-6 (IL-6), serum interleukin-1β (IL-1β), and tumor necrosis factor-α (TNF-α) were observed and compared between the two groups before and after treatment, and the clinical efficacy of the two groups was evaluated. Results: After treatment, the VAS score, TCM symptom score, and serum IL-6, IL-1β, and TNF-α levels decreased in both groups (P P P P P Conclusions: The hot and humid compress of traditional Chinese medicine can effectively relieve pain, restore lumbar function, improve TCM syndromes, reduce the level of inflammatory factors, and have a curative effect in treating LDH.
基金Supported by Hunan Province Traditional Chinese Medicine Research Project(No.B2023043)Hunan Provincial Department of Education Scientific Research Project(No.22B0386)Hunan University of Traditional Chinese Medicine Campus level Research Fund Project(No.2022XJZKC004).
文摘AIM:To develop a classifier for traditional Chinese medicine(TCM)syndrome differentiation of diabetic retinopathy(DR),using optimized machine learning algorithms,which can provide the basis for TCM objective and intelligent syndrome differentiation.METHODS:Collated data on real-world DR cases were collected.A variety of machine learning methods were used to construct TCM syndrome classification model,and the best performance was selected as the basic model.Genetic Algorithm(GA)was used for feature selection to obtain the optimal feature combination.Harris Hawk Optimization(HHO)was used for parameter optimization,and a classification model based on feature selection and parameter optimization was constructed.The performance of the model was compared with other optimization algorithms.The models were evaluated with accuracy,precision,recall,and F1 score as indicators.RESULTS:Data on 970 cases that met screening requirements were collected.Support Vector Machine(SVM)was the best basic classification model.The accuracy rate of the model was 82.05%,the precision rate was 82.34%,the recall rate was 81.81%,and the F1 value was 81.76%.After GA screening,the optimal feature combination contained 37 feature values,which was consistent with TCM clinical practice.The model based on optimal combination and SVM(GA_SVM)had an accuracy improvement of 1.92%compared to the basic classifier.SVM model based on HHO and GA optimization(HHO_GA_SVM)had the best performance and convergence speed compared with other optimization algorithms.Compared with the basic classification model,the accuracy was improved by 3.51%.CONCLUSION:HHO and GA optimization can improve the model performance of SVM in TCM syndrome differentiation of DR.It provides a new method and research idea for TCM intelligent assisted syndrome differentiation.
文摘Breast cancer (BC) is the most common malignant tumor in women. Around 50% of BC receptor-positive patients are hormone-dependent cases, and it is necessary for them to use endocrine after operation. Through inhibition of estrogen level
文摘BACKGROUND A patient with type Ⅲ Kummell’s disease had a ruptured posterior cortex of the fractured vertebral body, which caused spinal cord compression. An open surgery was considered the best choice of operation. However, the patient and her family refused open surgery and instead demanded a minimally invasive surgical treatment such as percutaneous vertebroplasty(PVP). After preoperative discussion, we finally adopted the novel therapy of traditional Chinese medicine manipulative reduction(TCMMR) combined with PVP.CASE SUMMARY A patient with type Ⅲ Kummell’s disease exhibiting bone block-induced spinal cord compression was admitted to our hospital. She suffered from a variety of medical disorders but refused open surgery, and instead asked for PVP surgery. TCMMR, in parallel with PVP, was used to restore the height of the compressed vertebral body and reduce the symptoms of spinal cord compression by the bone block in order to strengthen the vertebral body and prevent further collapse. The surgery was very successful. The height of the compressed vertebra was restored, and the symptom of spinal cord compression by bone block was reduced successfully via TCMMR. The fractured vertebra was solidified by the PVP. The pain visual analog score declined from preoperative 7 scores to postoperative 2 scores, and the Frankel spinal cord scale increased from preoperative D degree to postoperative E degree.CONCLUSION The new method has advantages in treating patients with type Ⅲ Kummell’s disease who cannot be treated with open surgery.
基金China National Funds for Distinguished Young Scientists(CN)(Grants No.81725024)China Postdoctoral Science Foundation(No.2020M670236).
文摘Tongue diagnosis is an important process to non-invasively assess the condition of a patient’s internal organs in traditional Chinese medicine(TCM)and each part of the tongue is related to corresponding internal organs.Due to continuing computer technological advances,especially the artificial intelligence(AI)methods have achieved significant success in tackling tongue image acquisition,processing,and classification,novel AI methods are being introduced in traditional Chinese medicine tongue diagnosis medical practices.Traditional tongue diagnose depends on observations of tongue characteristics,such as color,shape,texture,moisture,etc.by traditional Chinese medicine physicians.The appearance of the tongue color,texture and coating reflects the improvement or deterioration of patient’s conditions.Moreover,AI can now distinguish patient’s condition through tongue images,texture or coating,which is all possible increasingly with help from traditional Chinese medicine physicians under the traditional Chinese medicine tongue theory.AI has enabled humans to do what was previously unimagined:traditional Chinese medicine tongue diagnosis with feeding a large amount of tongue image and tongue texture/coating data to train the AI modes.This review focuses on the research advances of AI in TCM tongue diagnosis thus far to identify the major scientific methods and prospects.In this article,we tried to review the AI application in resolving the tongue diagnosis of traditional Chinese medicine on color correction,tongue image extraction,tongue texture/coating segmentation.
基金the Natural Science Foundation of China (Grant No. 61701005)the Domestic Visiting Research Project of Excellent Young Backbone Talents from Anhui Higher Education Institutions (Grant No. gxgnfx2019009)+6 种基金the Key Project of Humanities and Social Sciences Research in Anhui Higher Education Institutions in 2019 (Grant No. SK2019A0242)the Quality Project Foundation of Anhui Province (Grant No. 2017mooc220, No. 2018zhkt079, No. 2015sxzx011, No. 2012sjjd025)the Key Project of Outstanding Young Talents Support Program of Anhui Higher Education Institutions (Grant No. gxyqZD2016128)the Key Project of Natural Science Research in Anhui Higher Education Institutions (Grant No. KJ2015A054, No. KJ2019A0437)the Key Teaching and Research Project of Anhui University of Chinese Medicine (Grant No. 2017xjjy_zd011)the Natural Science key Foundation of Anhui University of Chinese Medicine (Grant No. 2019zrzd11, No. 2018zryb06)the National Innovation and Entrepreneurship Training Program for College Student (Grant No. 20181036 9021, No. 201810369022, No. 201610369044, No. 201710369052).
文摘Compared with western medicine, there are many complicated factors affecting the intrinsic quality of traditional Chinese medicine, because its production needs to be planted, harvested, processed, transported, stored, and sold, etc. Therefore, the internet of things is integrated into the traceability of traditional Chinese medicine, and its key technologies are studied. An XMLbased traceability information exchange model was constructed for traditional Chinese medicine and modeled the traceability process by the finite state machine (FSM). Furthermore, the specific electronic product code (EPC) coding scheme of traditional Chinese medicine was proposed based on the EPC coding structure model. Finally, the effectiveness of the above models and schemes is verified by an example of a traditional Chinese medicine traceability prototype system.
基金The Health and Medical Research Fund,Hong Kong(17181811)。
文摘Cardiovascular diseases(CVDs)are major disease burdens with high mortality worldwide.Early prediction of cardiovascular events can reduce the incidence of acute myocardial infarction and decrease the mortality rates of patients with CVDs.The pathological mechanisms and multiple factors involved in CVDs are complex;thus,traditional data analysis is insufficient and inefficient to manage multidimensional data for the risk prediction of CVDs and heart attacks,medical image interpretations,therapeutic decision-making,and disease prognosis prediction.Meanwhile,traditional Chinese medicine(TCM)has been widely used for treating CVDs.TCM offers unique theoretical and practical applications in the diagnosis and treatment of CVDs.Big data have been generated to investigate the scientific basis of TCM diagnostic methods.TCM formulae contain multiple herbal items.Elucidating the complicated interactions between the active compounds and network modulations requires advanced data-analysis capability.Recent progress in artificial intelligence(AI)technology has allowed these challenges to be resolved,which significantly facilitates the development of integrative diagnostic and therapeutic strategies for CVDs and the understanding of the therapeutic principles of TCM formulae.Herein,we briefly introduce the basic concept and current progress of AI and machine learning(ML)technology,and summarize the applications of advanced AI and ML for the diagnosis and treatment of CVDs.Furthermore,we review the progress of AI and ML technology for investigating the scientific basis of TCM diagnosis and treatment for CVDs.We expect the application of AI and ML technology to promote synergy between western medicine and TCM,which can then boost the development of integrative medicine for the diagnosis and treatment of CVDs.
