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.

Analysis on medication rule of traditional Chinese medicine treating chemotherapy-induced diarrhea based on traditional Chinese medicine(TCM) inheritance computing platform system

Objective:To dig deeper into the traditional Chinese medicine treatment rules of chemotherapy-induced diarrhea with traditional Chinese medicine(TCM)inheritance computing platform system.Methods:Taking“traditional Chinese medicine”,“chemotherapy”and“diarrhea”as the theme words,comprehensive search of the database of CNKI,Wanfang and VIP from its inception to November 2020 was conduct-ed.The formulas of external treatment of traditional Chinese medicine for chemotherapy-induced diarrhea were included and the association rule,clustering and factor analysis were carried out.Results:A total of 145 papers,57 prescriptions meeting the inclusion criteria were collected,among which high-frequency drugs including Baizhu(Atractylodis macrocephalae rhizoma),Fuling(Poria),Dangshen(Codonopsisradix),Huanglian(Coptidis rhizoma),Zhigancao(Glycyrrhizae radix et rhizoma praeparata cum melle)were the most commonly used.The confidence level was set as 0.7 and the support level was set as 10,12 core compatibility groups were obtained,and 6 categories were cluster analyzed.Conclusion:The principle of external treatment of chemotherapy-induced diarrhea is mainly“restore deficiency and benefiting qi”,“benefiting water infiltration and dampness”,“clearing heat”and“inducing astringency”.Prescription combination and new prescription combination based on traditional Chinese medicine(TCM)inheritance computing platform system can be used as reference for clinicians and applied in primary hospitals.

Evaluating the confidence level of Traditional Chinese Medicine in nursing undergraduates at Chinese medical university

Objective:To observe the confidence level prevailing with regard to the practice of Traditional Chinese Medicine(TCM)among undergraduate nursing students who have undertaken TCM courses at Shanxi Medical University.Methods:This cross-sectional study was conducted at Shanxi University of Chinese Medicine.A questionnaire survey was administered through the Questionnaire Star website(https://www.questionstar.com/).The confidence level was examined from 6 aspects,namely cognition of TCM culture and theory,advantages and characteristics of TCM diagnosis and treatment,feelings about TCM achievements,personal behaviors related to TCM,attitudes toward Western medicine,and the future of TCM.The mean score of the observed items was calculated,and was found to be positively related to the confidence level concerning TCM(the score was between 1 and 5).Results:A total of 120 participants voluntarily enrolled themselves in the study.The results showed that the mean score of observed items were generally about 4.A relatively strong confidence was shown in understating TCM advantages and characteristics in diagnosis and treatment,and also in feelings toward TCM achievements.Conclusions:The majority of nursing undergraduates had confidence in TCM.However,some aspects such as the understanding of TCM culture and the correlation between TCM and Western medicine may need to be improved through education.

Mathematical Reasoning of Treatment Principle Based on “Yin Yang Wu Xing” Theory in Traditional Chinese Medicine (II)

By using mathematical reasoning, this paper demonstrates the treatment principle: “Do not treat a disease after it has occurred. But treat the disease before it will occur” (不治已病治未病) based on “Yin Yang Wu Xing” Theory in Traditional Chinese Medicine (TCM). We defined generalized relations and reasoning, introduced the concept of generalized steady multilateral systems, and discussed its energy properties. Later based on the treatment of TCM and treated the healthy body as a steady multilateral system, it has been proved that the treatment principle above is true. The kernel of this paper is the existence and reasoning of the non-compatibility relations in steady multilateral systems, and it accords with the oriental thinking model.

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.

Acupuncture Treating Dystrophy Based on pH <br/>—Mathematical Reasoning of Treatment Principle Based on Yin Yang Wu Xing Theory in Traditional Chinese Medicine (III)

Theory of both Zangxiang (藏象) and Jingluo (经络) is useful in understanding disease. By using mathematical reasoning based on Yin Yang Wu Xing Theory in Traditional Chinese Medicine (TCM), this paper demonstrates the treatment principle: “Searching for a root cause of disease in cure, treatment of both the root-cause and symptoms at the same time” (治病求本, 标本兼治). It means that for a human body, there is the mathematical structure of both Zangxiang and Jingluo as her/his second physiological system. It can be used to determine both the root-cause and symptoms of the sick organ by using both Zangxiang and Jingluo. In general, for the human blood pH value, the normal range of theory is [7.34539, 7.45461] nearly to [7.35, 7.45], and the center is 7.4. The first or second transfer law of a human body’s energies changes according to the different blood pH values whether in the normal range or not. Human disease treatment should protect and maintain the balance of two incompatibility relations: the loving relationship and the killing relationship. As an application, acupuncture is used to treat limb-girdle muscular dystrophy.

Acupuncture Treating Heart Disease Based on Eight Palaces or Eight Veins <br/>—Mathematical Reasoning of Treatment Principle Based on Yin Yang Wu Xing Theory in Traditional Chinese Medicine (IV)

Theory of eight palaces (八宫) or eight veins (八脉) is useful in understanding the basic sick subsystems that may be to fall ills as the root-cause. By using mathematical reasoning based on Yin Yang Wu Xing Theory in Traditional Chinese Medicine (TCM), this paper demonstrates the treatment principle: “Even if all changed, it is hard to change one’s nature” (江山易改, 本性难移). The eight palaces or eight veins can be used to diagnose basic sick subsystems that may be to fall ills as the root-cause. The first or second transfer law of human body energies of the eight palaces or eight veins according to the different blood pH values of a human body whether in the normal range or not, respectively, assuming that the range of blood pH value is divided into four parts from small to large. Both second and third are for a healthy human body. Both the root-cause and symptoms come from the first transfer law of human body energies. And both first and fourth are for an unhealthy human body. Both the root-cause and symptoms come from the second transfer law of human body energies. A disease treatment should protect and maintain the balance of two incompatibility relations: the loving relationship and the killing relationship. As an application, acupuncture is used to treat atrial premature beats as a congenital heart disease.

A Preliminary Study on Legitimacy Identification Standards for Unconventional Treatment Technologies in Traditional Chinese Medicine

Compared with western medicine with objective and standardized theories,traditional Chinese medicine(TCM)places more emphasis on subjective thinking.Moreover,there are several academic schools under TCM,and ancient secret prescriptions and proven prescriptions play important roles in TCM treatments.However,the drugs used by some academic schools and some ancient secret prescriptions and proven prescriptions often contradict mainstream theories,and some TCM treatment methods do not significantly conform to the methods that are considered safe by the Chinese Pharmacopoeia(2015 edition),medical textbooks and other canonical books.Despite the long history and abundant successful experiences of TCM treatments,controversies regarding these unconventional treatment technologies,specifically when these breach the safety standards of treatment,exist considering that several medical adverse effects are observed when performing these unconventional treatments.In view of this,distinguishing“welldefined technological breakthrough”from“medical fault”is considered necessary.This study discusses the issue and raises constructive suggestions on the corresponding identification standards for unconventional treatment strategies in TCM.

Analysis on the medication rule of traditional Chinese medicine in the treatment of COVID-19 patients

Objective: To describe patterns of utilization of traditional Chinese medicine(TCM) in the treatment of patients with coronavirus disease 2019(COVID-19).Methods: Adult patients with COVID-19 who received TCM treatment were divided into a non-serious group(mild and moderate types) and a serious group(severe and critical types) according to their admission conditions. The medical records and prescriptions of these patients were investigated to determine their TCM utilization patterns.Results: In all, 3,872 COVID-19 patients were included. Oral Chinese traditional patent medicine(CPM) was the most commonly used type of TCM(83.2%), fol owed by decoction(64.4%). As for medication pattern, the proportion of multi-drug combinations was higher than single drug use(55.0% vs. 45.0%). Decoction combined with oral CPM was the most common combination(39.1%,1,514/3,872). Oral y administered, injected, and external y applied CPM were significantly more common in the serious group than in the non-serious, while decoction and non-drug TCM treatments were more common in the non-serious than in the serious group.Multi-drug combinations were used for the majority of patients in both groups, mainly in the form of decoction combined with oral CPM.Serious patients were analysed by three groups of different prognoses and outcomes, including discharged after improvement,discharged after relapse and improvement, died final y. The two most common medication patterns were decoction combined with oral CPM and oral CPM alone in the two final y discharged groups. Oral CPM alone or used in combination with injected CPM were seen most commonly in the death group. Significant differences were established in medication patterns among patients in these three groups.Conclusions: Oral CPM was the mainly used TCM for COVID-19 patients, followed by decoction. More common medication pattern was multi-drug combination, especially decoction combined with oral CPM. The treatment measures and medication patterns of TCM commonly used in COVID-19 patients with the range of conditions found in this study should be further explored in the future to provide a more complete reference for COVID-19 treatment.

Acupuncture Treating Heart Diseases Based on Sixty JiaZi and Eight Palaces <br/>—Mathematical Reasoning of Treatment Principle Based on Yin Yang Wu Xing Theory in Traditional Chinese Medicine (V)

Theory of Sixty JiaZi (60 甲子) is useful in understanding a human body disease. By using mathematical reasoning based on Yin Yang Wu Xing Theory in Traditional Chinese Medicine (TCM), this paper demonstrates the treatment principle: “seize the momentum of development, hasten lucky avoids disaster” (顺势而为, 趋吉避凶). Sixty JiaZi is hidden behind eight palaces. The first or second transfer law of human body energies of Sixty JiaZi changes according to the different blood pH values of a human body whether in the normal range or not, respectively, assuming that the range of blood pH values of a human body is divided into four parts from small to large. Both second and third are for a healthy human body. Both the root-cause and symptoms come from the first transfer law of human body energies. And both first and fourth are for an unhealthy human body. Both the root-cause and symptoms come from the second transfer law of human body energies. The treating disease of a human body should protect and maintain the balance of two incompatibility relations: the loving relationship and the killing relationship. As an application, acupuncture is used to treat atrial premature beats as congenital heart disease.

A new interpretation of TCM pulse diagnosis based on quantum physical model of the human body

Following the quantum theory-based physical model of the human body,a new interpretation of the traditional Chinese medicine(TCM)principle of"Cunkou reads viscera"is presented.Then,a Gaussian pulse wave model as a solution to the Schrodinger equation is shown to accurately describe 19 different pulse shapes,and to quantitatively capture the degree of YinYang attributes of 13 pulse shapes.Furthermore,the model suggests using pulse depth and strength as leading-order quantity and pulse shape as first-order quantity,to characterize the hierarchical resonance between the human body and the environment.The future pulse informatics will focus on determining an individual’s unique quantum human equilibrium state,and diagnose its health state according to the pulse deviation from its equilibrium state,to truly achieve the high level of TCM:"knowing the normal state and reaching the change".

Analysis of novel coronavirus pneumonia treatment with Chinese herbal compound

Objective: To analyze the prescription law of TCM compound in the treatment of new coronavirus pneumonia, and provides reference for the clinical treatment of new coronavirus pneumonia. Methods: Collected Collected 24 novel coronavirus pneumonia related diagnostic and therapeutic plans issued by the National Health Council and the Chinese medicine authority from January 26, 2020 to March 8th ,the filtered solution involved in the formula, establishing database of traditional Chinese medicine compound prescription for the treatment of new crown pneumonia, the frequency of using frequency analysis methods of analysis and clustering analysis and association rules analysis to sort out data mining analysis of traditional Chinese medicine compound. Results: In this study, a total of 159 TCM compounds were included in the treatment of new crown pneumonia from the country and 23 provinces, municipalities and autonomous regions, involving 189 TCM compounds. A total of 62 high-frequency traditional Chinese medicines (frequency ≥ 11) were obtained, mainly including licorice, almond, ephedra, gypsum, Poria cocos, Huoxiang, etc The drug types are mainly heat-clearing drugs, vacuous drugs, moisture-curing drugs, and surfactant drugs. The main effect of the medicine was warm, cold, lukewarm and flat, the main effect of the medicine was bitter and bitter, and the main effect of the medicine was the lung, stomach and spleen. Cluster analysis results according to the performance of traditional Chinese medicine treatment of new crown pneumonia high frequency drugs into 7 classes;Association rule analysis results in 29 common drug pairs. Conclusion: In the treatment of pneumonia caused by new coronavirus infection with traditional Chinese medicine, the following characteristics are presented: the number of times of supplementing qi and Yin is more than that of attacking evil and maintaining health;The method of dispersing and solving the attack of wet, beneficial, wet, permeable and wet medicine fully embodies a variety of ways to drive away evil;In terms of drugs, heat-clearing drugs, deficiency drugs, dampness drugs and surface drugs are the main ones, highlighting that the basic treatment method is to dissolve dampness and detoxify, and replenish qi and Yin. In summary, this study can provide reference for guiding clinical drug use and developing new drugs.

MEDICLOUD:a holistic study on the digital evolution of medical data

The Corona Virus Disease 2019(COVID-19) pandemic has taught us many valuable lessons regarding the importance of our physical and mental health. Even with so many technological advancements, we still lag in developing a system that can fully digitalize the medical data of each individual and make it readily accessible for both the patient and health worker at any point in time. Moreover, there are also no ways for the government to identify the legitimacy of a particular clinic. This study merges modern technology with traditional approaches,thereby highlighting a scenario where artificial intelligence(AI) merges with traditional Chinese medicine(TCM), proposing a way to advance the conventional approaches. The main objective of our research is to provide a one-stop platform for the government, doctors,nurses, and patients to access their data effortlessly. The proposed portal will also check the doctors’ authenticity. Data is one of the most critical assets of an organization, so a breach of data can risk users’ lives. Data security is of primary importance and must be prioritized. The proposed methodology is based on cloud computing technology which assures the security of the data and avoids any kind of breach. The study also accounts for the difficulties encountered in creating such an infrastructure in the cloud and overcomes the hurdles faced during the project, keeping enough room for possible future innovations. To summarize, this study focuses on the digitalization of medical data and suggests some possible ways to achieve it. Moreover, it also focuses on some related aspects like security and potential digitalization difficulties.

医疗机构基于“三结合”中药新药研发及管理体系的构建

目的:在中药审评审批制度改革的政策背景下,围绕医疗机构,探索中医药理论、人用经验和临床试验相结合(简称“三结合”)的审评证据体系落地举措,为医疗机构中药制剂及中药新药研发提供参考。方法:根据“三结合”审评证据体系下中药新药研发的相关要求,从机构层面加强人用经验研究相关配套建设,从管理层面搭建中药研发、成果转化服务平台,从临床层面规范开展人用经验研究,构建医疗机构中药新药研发及管理体系。结果:医疗机构中药新药研发及管理体系的构建,有助于将临床诊疗数据转变为支持中药新药注册的人用经验证据,通过提高中药研发水平促进中药新药转化。结论:在医疗机构构建基于“三结合”的中药新药研发及管理体系,是“三结合”审评证据体系落地、政策引导研发实践的路径之一。

基于《中医方剂大辞典》的雷丸组方用药规律分析

目的 基于数据挖掘方法探究《中医方剂大辞典》中雷丸的组方用药规律。方法 以《中医方剂大辞典》为信息源,梳理含雷丸的方剂,构建雷丸方药数据库;采用文献分析和数据挖掘方法,探讨雷丸的增效减毒及其方剂主治病症类型、药物配伍情况;利用关联规则分析探寻其在常见病中的配伍特点;使用皮尔逊相关性分析发掘药-证的相关性,总结其用药规律。结果 含有雷丸方剂的剂型主要为丸剂和散剂,高频用药为槟榔、大黄、木香等,与雷丸配伍的主要为驱虫药、泻下药及理气药等,且味多为苦、辛,归胃经、脾经。其中“槟榔-雷丸”出现的药对配伍频数最高,其次是“大黄-雷丸”“木香-雷丸”;雷丸方剂的主治病症为虫积的频数最高,其次为疳证、积滞等。皮尔逊相关性分析结果表明,治疗虫积配伍槟榔、木香、使君子、芜荑、鹤虱等;治疗疳证配伍胡黄连、黄连、青皮等;治疗积滞配伍神曲、陈皮、牵牛子、三棱等。结论 雷丸与槟榔等配伍可加强杀虫消积的功效;与胡黄连、大黄等配伍可增加泻下攻积的作用,以上可能会引起轻微的胃肠道不良反应;与陈皮、神曲等配伍可保护胃黏膜,减轻胃肠不良反应。但雷丸毒性物质基础研究等未见报道,仍需深入研究,为雷丸临床应用提供更确切的基础。

中医医疗技术授权管理体系研究

目的规范中医医疗技术临床应用管理,提高中医医疗质量,保障医疗安全。方法通过对符合条件的医师进行系统化培训、考核,授予相应的中医医疗技术权限。结果经对申请人员进行资质审核,组织针灸、推拿专业专家对申请中医医疗技术人员进行系统性培训及考核,分别授予365名医师、581名护理人员中医医疗技术处方权及施治权。结论经系统化的培训,采用信息化手段规范中医医疗技术的授权,建立管理档案并实行动态管理。

中医临床决策支持系统的发展综述

从临床决策支持系统的概念出发,对中医临床决策支持系统的发展及其在中医药领域的应用和研究进展进行综述。概述了中医临床决策支持系统内涵及其构建方法和研究应用,介绍了中医临床决策支持系统利用中医自然语言处理等人工智能技术对名老中医诊疗经验进行数据挖掘并建模后形成了中医疾病知识图谱,以及历年来中医临床决策支持系统的研究进展和应用,以期为同领域研究和应用提供新思路。

中医医院开展DRG支付方式改革现状与思考

DRG支付方式改革是深化医药卫生体制改革的全新举措,也是中医药事业和中医医院高质量发展的重要手段。中医特色诊疗服务体系具有独特性,中医医院开展DRG支付方式改革面临诸多挑战。通过对中医医院DRG支付方式改革实施过程进行分析,发现中医医院仍面临DRG支付方式与中医辨证论治难契合、中医诊疗供给能力和应用范围有限、面临财务风险压力、中医特色诊疗难以发挥及信息化建设滞后等问题。中医医院需要从政策和医院管理两方面着手,结合中医优势病种,修改完善DRG支付方案,发挥中医特色诊疗优势,加快中医医院医保支付方式改革步伐,推动中医医院和中医药事业持续高质量发展。

ICD-11纳入传统医学编码对疾病负担测算的影响研究

基于国际疾病和相关健康问题分类(ICD)编码的疾病负担测算在全球已得到广泛应用,但是目前该类研究多基于西医疾病编码。随着中医药国际化程度的提高,ICD-11纳入传统医学编码,有利于促进中医疾病诊断的完善,利于计算患病率、生存率、服药情况、救治水平,可进一步评价中医病种的疾病负担情况,促进临床诊疗决策及卫生资源的合理配置,从而进一步促进中医药的国际化。但是,ICD-11中传统医学编码不完善,和西医疾病编码、我国中医国家标准之间的映射不足对中医疾病负担测算带来新的挑战。本文立足于疾病负担测算的编码体系,分析了当前中医疾病负担测算研究中的不足、ICD-11纳入传统医学编码后对中医疾病负担测算的影响,并对ICD-11传统医学编码和西医疾病编码、我国新国家标准进行了初步比较,为未来中医疾病负担的测算编码的完善提供参考。提出未来可利用大数据技术促进中医标准化术语和ICD-11传统医学编码、ICD-11传统医学编码和西医疾病编码之间的映射,从而促进中医疾病负担的研究。

北京地区中医规培经典教育现况调研

[目的]调查中医住院医师规范化培训(以下简称中医规培)的经典教育现状及需求,助力中国式的规培模式改革。[方法]采用课题组专家自制调查问卷,调研北京地区4所规培基地的中医规培医师的经典教育现况,并统计分析。[结果]共362名参与者接受调查,348份问卷纳入统计,有效率96.1%。从现状来看,当前培训模式下形成的主体诊疗思维为“中西参杂、不中不西”;从问题与原因来看,经典学、考和实践比例偏低,或与身份属性、培训年限与状态等因素有关;从需求而言,多数参与者支持将经典教育纳入规培制度,希望在不增加总工作量的前提下,通过数字化方式增加一定比例的经典内容,以培养中医诊疗思维,如《伤寒论》《金匮要略》《黄帝内经》等书目。[结论]基于中医诊疗思维培养的规培目标,现行规培模式亟待改革,以体现中医学特色。中医经典是凸显中医学特色的关键抓手,经典思维是中医诊疗思维的核心内容。目前规培过程中经典及经典思维培养尚不足,数字化为经典思维培养的落地带来可能,能够全面评价规培医师对中医经典的掌握程度以及运用经典思维指导临床实践的能力。