The enlightenment of artificial intelligence large-scale model on the research of intelligent eye diagnosis in traditional Chinese medicine

Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However;the research on intelligent eye diagnosis still faces many challenges;including the lack of standardized and precisely labeled data;multi-modal information analysis;and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis;and explores the implications for the research of eye diagno-sis intelligence.First;a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next;the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last;the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary;research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.

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

This paper introduces a systems theory-driven framework to integration artificial intelligence(AI)into traditional Chinese medicine(TCM)research,enhancing the understanding of TCM’s holistic material basis while adhering to evidence-based principles.Utilizing the System Function Decoding Model(SFDM),the research progresses through define,quantify,infer,and validate phases to systematically explore TCM’s material basis.It employs a dual analytical approach that combines top-down,systems theory-guided perspectives with bottom-up,elements-structure-function methodologies,provides comprehensive insights into TCM’s holistic material basis.Moreover,the research examines AI’s role in quantitative assessment and predictive analysis of TCM’s material components,proposing two specific AIdriven technical applications.This interdisciplinary effort underscores AI’s potential to enhance our understanding of TCM’s holistic material basis and establishes a foundation for future research at the intersection of traditional wisdom and modern technology.

Feasibility and Challenges of Interactive AI for Traditional Chinese Medicine: An Example of ChatGPT

As a complementary and alternative medicine(CAM),traditional Chinese medicine(TCM)represents an established medical system with a rich history and abundant clinical experience.TCM is an empirical medicine,the process of which is analogous to ChatGPT’s learning and development model.In TCM,inquiry is a relatively objective way of traditional syndrome differentiation.Although various artificial intelligence systems related to TCM consultation exist,their interactive abilities remain limited.The study standardized the primary complaint and instructed ChatGPT to simulate a TCM practitioner,conducting three comprehensive inquiry tests.The results yielded unexpected conclusions,revealing that ChatGPT could simulate a TCM practitioner’s inquiry with patients,confirming its potential in the field of TCM inquiry.However,current applications still pose certain limitations and risks.Hence,to integrate ChatGPT-like language models with traditional TCM AI to establish an associative mode that can facilitate TCM diagnosis and treatment with more convenience and standardization is crucial,yet at the same time,it should be treated very carefully.

Research on Empowering the Development of Traditional Chinese Medicine with New Quality Productivity

The Traditional Chinese Medicine(TCM)industry,deeply rooted in cultural heritage and complex production processes,has been advancing through technological innovations such as intelligent production systems,digital management,blockchain traceability,and personalized health services.Despite its historical and cultural significance,the integration of these modern technologies offers significant potential to enhance the industry’s modernization and internationalization.Empirical research and case studies indicate that adopting intelligent production systems,blockchain-enabled traceability,and data-driven resource management strategies can address industry challenges while promoting sustainable development.This paper examines the current state of new quality productivity in TCM,evaluates the challenges and opportunities of its application,and proposes strategic recommendations for the industry’s sustainable growth.The findings suggest that new quality productivity can improve production efficiency,ensure consistent product quality,and boost consumer confidence,particularly in global markets.These insights offer a theoretical foundation and practical strategies for applying advanced productivity models in TCM,with potential implications for other traditional healthcare industries.

Application and Development of Intelligent Medicine in Traditional Chinese Medicine

As modern science and technology constantly progresses,the fields of artificial intelligence,mixed reality technology,remote technology,etc.have rapidly developed.Meanwhile,these technologies have been gradually applied to the medical field,leading to the development of intelligent medicine.What’s more,intelligent medicine has greatly promoted the development of traditional Chinese medicine(TCM),causing huge changes in the diagnosis of TCM ailments,remote treatment,teaching,etc.Therefore,there are both opportunities and challenges for inheriting and developing TCM.Herein,the related research progress of intelligent medicine in the TCM in China and abroad over the years is analyzed,with the purpose of introducing the present application status of intelligent medicine in TCM and providing reference for the inheritance and development of TCM in a new era.

Network Curriculum Design of Traditional Chinese Medicine Pharmacy Specialty Formed by Introducing Guangxi Minority Medicine

Starting from the background and significance of the development and design of the network course of traditional Chinese medicine pharmacy specialty formed by introducing Guangxi minority medicine,this paper discusses the teaching design scheme and module construction of the network course in the development process,and summarizes the design,production and construction experience of the network course.Through practice,the teaching effect and achievement of the network course of traditional Chinese medicine pharmacy specialty formed by introducing Guangxi minority medicine are obvious.

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

Artificial intelligence(AI) aims to mimic human cognitive functions and execute intellectual activities like that performed by humans dealing with an uncertain environment. The rapid development of AI technology provides powerful tools to analyze massive amounts of data, facilitating physicians to make better clinical decisions or even replace human judgment in healthcare.Advanced AI technology also creates novel opportunities for exploring the scientific basis of traditional Chinese medicine(TCM) and developing the standardization and digitization of TCM pulse diagnostic methodology. In the present study, we review and discuss the potential application of AI technology in TCM pulse diagnosis. The major contents include the following aspects:(1) a brief introduction of the general concepts and knowledge of TCM pulse diagnosis or palpation,(2) landmark developments in AI technology and the applications of common AI deep learning algorithms in medical practice,(3) the current progress of AI technology in TCM pulse diagnosis,(4) challenges and perspectives of AI technology in TCM pulse diagnosis. In conclusion, the pairing of TCM with modern AI technology will bring novel insights into understanding the scientific principles underlying TCM pulse diagnosis and creating opportunities for the development of AI deep learning technology for the standardization and digitalization of TCM pulse diagnosis.

Application of artificial intelligence in tongue diagnosis of traditional Chinese medicine:A review

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.

A brief overview of traditional Chinese medicine prescription powered by artificial intelligence

Traditional Chinese medicine prescription is one of the treasures of traditional Chinese medicine(TCM).There are tens of thousands TCM prescriptions accumulated in the past thousands of years,corresponding to different diseases,symptoms and therapeutic goals.The correspondences are so complicated that there is an urgent need to leverage new technologies such as artificial intelligence(AI)to analyze,understand and utilize them effectively.In this paper,we present a brief overview of this direction,where current research progress on TCM prescription powered by AI is summarized.Our summarization focuses on three aspects,TCM prescription mining that aims at understanding the TCM prescription,TCM prescription or herb knowledge base construction that aims at extracting knowledge to support the TCM prescription-related study,and TCM prescription discovery that aims at utilizing AI technologies to further energize TCM.It is encouraging to see that steady progress in this direction has been made recently.Besides,a toy experiment on image-based TCM herb recognition by using convolutional neural networks is also conducted.It basically verifies that it is promising to use AI technologies to address challenging tasks in TCM.We also point out several research topics that could be cooperatively performed by researchers from the two disciplines.

Artificial intelligence for the development and implementation guidelines for traditional Chinese medicine and integrated traditional Chinese and western medicine

The translation and implementation of clinical practice guidelines(CPGs)for Traditional Chinese Medicine(TCM)and Integrated Traditional Chinese and Western medicine is crucial to the adoption of medical science and technology,but the low operability and slow update of integrated traditional Chinese and Western Medicine guidelines,and the lack of integration between guidelines and clinical practice,result in the guidelines not having the desired clinical effects in practice.The application of Artificial Intelligence(AI)to the field of CPGs development aims to shorten the development time,optimize and accelerate the whole process of CPG’s development.This article summarized the current research and application status of AI in development and implementation CPGs for TCM and Integrated Traditional Chinese and Western medicine and proposed the method of Combining real world data and AI technology to enrich for TCM and Integrated Traditional Chinese and Western medicine.

Artificial intelligence and its application for cardiovascular diseases in Chinese medicine

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.

Network pharmacology for traditional Chinese medicine in era of artificial intelligence

Traditional Chinese Medicine Network Pharmacology(TCM-NP) is an interdisciplinary discipline that integrates information science, systems biology, network science and pharmacology, providing a systematic research methodology for TCM studies. With the development of artificial intelligence(AI)and multi-omics technologies, TCM-NP has entered a new era and can incorporate multimodal and high-dimensional data in the context of big data to enhance both theoretical foundations and technical capabilities. Despite its advancement, TCM-NP still faces challenges, particularly in ensuring the quality of data and research, as well as achieving more profound scientific discoveries. The field needs further innovation to obtain more precise and biomedically meaningful results. Overall research progress in TCM-NP depends on developing more accurate algorithms together with utilizing higher-quality and larger-scale data. This paper gives a perspective on the trends and characteristics of TCM-NP development and application in the era of AI.

Deep learning-based recognition of stained tongue coating images

Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images.Methods A total of 1001 images of stained tongue coating from healthy students at Hunan University of Chinese Medicine and 1007 images of pathological(non-stained)tongue coat-ing from hospitalized patients at The First Hospital of Hunan University of Chinese Medicine withlungcancer;diabetes;andhypertensionwerecollected.Thetongueimageswererandomi-zed into the training;validation;and testing datasets in a 7:2:1 ratio.A deep learning model was constructed using the ResNet50 for recognizing stained tongue coating in the training and validation datasets.The training period was 90 epochs.The model’s performance was evaluated by its accuracy;loss curve;recall;F1 score;confusion matrix;receiver operating characteristic(ROC)curve;and precision-recall(PR)curve in the tasks of predicting stained tongue coating images in the testing dataset.The accuracy of the deep learning model was compared with that of attending physicians of traditional Chinese medicine(TCM).Results The training results showed that after 90 epochs;the model presented an excellent classification performance.The loss curve and accuracy were stable;showing no signs of overfitting.The model achieved an accuracy;recall;and F1 score of 92%;91%;and 92%;re-spectively.The confusion matrix revealed an accuracy of 92%for the model and 69%for TCM practitioners.The areas under the ROC and PR curves were 0.97 and 0.95;respectively.Conclusion The deep learning model constructed using ResNet50 can effectively recognize stained coating images with greater accuracy than visual inspection of TCM practitioners.This model has the potential to assist doctors in identifying false tongue coating and prevent-ing misdiagnosis.

人工智能信息技术在中医四诊现代化研究中的应用现状与展望

随着人工智能信息技术爆发式发展,其在中医领域的应用也逐渐普及。随着现代信息技术的发展,中医诊断学中的望、闻、问、切四诊技术逐渐客观化、标准化、信息化与智能化。借助人工智能、大数据、智能医疗器械等关键要素,提升中医四诊融合及诊断水平,并为中医学的发展注入新的活力,是中医诊断学尤其是四诊技术发展的必然趋势。梳理了近年来中医望诊、闻诊、问诊和切诊的智能化发展及四诊融合概况,以期为中医诊断学及中医现代化的发展提供必要的信息化与智能化发展思路。

ROCCIPI框架下中医药与基层健康服务融合发展研究

基于中心卫生院的案例,通过ROCCIPI框架,从7个维度识别与分析中医药融入基层乡镇卫生院的问题。在此基础上,提出实施精准化战略,建设内涵式能力,强化中医药意识,促进多平台交流的策略,以期更好地实现中医药融入现代化基层健康服务。

基于“伏邪致病”理论治疗以延髓极后区综合征为主要表现的抗髓鞘少突胶质细胞糖蛋白免疫球蛋白G抗体相关疾病1例

本文分享1例以延髓极后区综合征为主要表现的抗髓鞘少突胶质细胞糖蛋白免疫球蛋白G抗体相关疾病病例。近年来,抗髓鞘少突胶质细胞糖蛋白免疫球蛋白G抗体介导的神经免疫性疾病病例被临床所报道,引起广泛关注,其具有免疫性疾病共有的难治性和易复发等特点。中医药治疗神经免疫性疾病的效果良好。该病例属中医“呃逆”范畴,具有“伏邪致病”特点。其病位深入,不易祛除,蛰伏体内,伺机而发,表现为病情缠绵,反复发作,且发病时常有郁热之象。因正气不足,邪气藏匿蓄积,与体内痰饮、瘀血等实邪互结,形成毒邪,由于情志不舒或饮食劳倦等诱因引触发病,治疗时当重视风、痰、瘀、痹与毒邪的相互关系,该病病位在脾胃、脑络,病性本虚标实,在外表现为以呃逆不止为特点的胃气上逆,实则病机关键在于邪气内伏、瘀滞脑络。

基于卷积神经网络建立中药材自动识别的人工智能模型及应用程序

背景传统中药材检测手段依赖主观经验,难以满足中药材在准确分类与鉴别方面的需求。目的基于卷积神经网络(CNN)开发一款能够自动识别163种中药材的人工智能模型及电脑端应用程序。方法2020年1月—2024年6月,采集了两个中药材数据集进行深度学习模型的训练、验证和测试,共包含163种中药材。通过准确率、灵敏度、特异度、精确率、受试者工作特征(ROC)曲线下面积(AUC)、F1分数等指标来衡量CNN模型的性能。在模型训练完成后,基于PyQt5技术开发了一款应用程序,供临床便携使用。结果本研究共纳入了276767张图像,开发了EfficientNetB0、ResNet50、MobileNetV3、VGG19和ResNet185种模型,通过性能比较,EfficientNet_B0模型在验证集上取得了最高的准确率(99.0%)和AUC(0.9942),被选为最佳模型。在测试集上,最佳模型对所有中药类别识别的准确率为99.0%、灵敏度为99.0%、特异度为100.0%、AUC为1.0,展现出良好的性能。结论基于卷积神经网络开发的深度学习模型能够快速准确地识别163种中药材,借助其高灵敏度的识别能力,为医师对中药材的鉴别提供有力辅助。

数智赋能中医药新质生产力形成:内在机制与实践路径

加快发展新质生产力是我国在新发展阶段具有统领性的目标遵循,中医药产业作为大健康产业的重要组成部分,加快培育新质生产力是时代要求与内在发展动力。我国中医药健康服务在创新能力、体系建设、服务模式、治理水平等方面存在短板,数智技术可以在创新范式、资源整合、治理手段等方面赋能,助力中医药新质生产力的加快形成。基于此,亟需在创新数智化、系统功能协同、新质要素培育、产业智慧发展生态等方面发力,为数智赋能加快形成中医药新质生产力提供良好的发展环境。

Network pharmacology approaches for research of Traditional Chinese Medicines

Pharmacodynamics material basis and effective mechanisms are the two main issues to decipher the mechnisms of action of Traditional Chinese medicines(TCMs)for the treatment of diseases.TCMs,in“multi-component,multi-target,multi-pathway”paradigm,show satisfactory clinical results in complex diseases.New ideas and methods are urgently needed to explain the complex interactions between TCMs and diseases.Network pharmacology(NP)provides a novel paradigm to uncover and visualize the underlying interaction networks of TCMs against multifactorial diseases.The development and application of NP has promoted the safety,efficacy,and mechanism investigations of TCMs,which then reinforces the credibility and popularity of TCMs.The current organcentricity of medicine and the“one disease-one target-one drug”dogma obstruct the understanding of complex diseases and the development of effective drugs.Therefore,more attentions should be paid to shift from“phenotype and symptom”to“endotype and cause”in understanding and redefining current diseases.In the past two decades,with the advent of advanced and intelligent technologies(such as metabolomics,proteomics,transcriptomics,single-cell omics,and artificial intelligence),NP has been improved and deeply implemented,and presented its great value and potential as the next drug-discovery paradigm.NP is developed to cure causal mechanisms instead of treating symptoms.This review briefly summarizes the recent research progress on NP application in TCMs for efficacy research,mechanism elucidation,target prediction,safety evaluation,drug repurposing,and drug design.

Artificial Intelligence Rehabilitation Evaluation and Training System for Degeneration of Joint Disease

Degeneration of joint disease is one of the problems that threaten global public health.Currently,the therapies of the disease are mainly conservative but not very effective.To solve the problem,we need to find effective,convenient and inexpensive therapies.With the rapid development of artificial intelligence,we innovatively propose to combine Traditional Chinese Medicine(TCM)with artificial intelligence to design a rehabilitation assessment system based on TCM Daoyin.Our system consists of four subsystems:the spine movement assessment system,the posture recognition and correction system,the background music recommendation system,and the physiological signal monitoring system.We incorporate several technologies such as keypoint detection,posture estimation,heart rate detection,and deriving respiration from electrocardiogram(ECG)signals.Finally,we integrate the four subsystems into a portable wireless device so that the rehabilitation equipment is well suited for home and community environment.The system can effectively alleviate the problem of an inadequate number of physicians and nurses.At the same time,it can promote our TCM culture as well.