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.

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.

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.

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.

Clinical Comparison and Analysis of Decoction of Traditional Chinese Medicine Combined with Ear Acupoint Application and Simple Artificial Tears in the Treatment of Dry Eye Syndrome

OBJECTIVE: To study the clinical comparison and analysis of decoction of Traditional Chinese Medicine(TCM) combined with ear acupoint application and simple artificial tears in the treatment of dry eye syndrome. METHODS:A total of 62 patients(124 eyes) with dry eye syndrome treated in the Department of Ophthalmology of The 4th People's Hospital of Shenyang from July 2017 to March 2018 were selected and equally divided into 2 groups according to the admission order. The observation group received the combination therapy of TCM decoction and ear acupoint application, while the control group was given the simple artificial tears. The symptom score after 2 weeks, 4 weeks, and 8 weeks as well as the indicators including break-up time(BUT), Schirmer I test(SIT) and fluorescein(FL) were recorded and compared between groups. RESULTS: The symptom scores had no difference before treatment(P > 0.05), and were better in the observation group than those in the control group after treatment(P < 0.05). At 2 weeks, 4 weeks, and 8 weeks after the treatment, the amelioration level of BUT, SIT, and FL indicators in the observation group was better than that of the control group(P < 0.05). CONCLUSION: Compared with the artificial tears treatment method, the TCM decoction combined with ear acupoint application can significantly ameliorate the tear film stability, tear secretion, and reduce ocular surface damage for dry eye patients.

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.

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.

Antacid effects of Chinese herbal prescriptions assessed by a modified artificial stomach model

AIM:To assess the antacid effects of the tonic Chinese herbal prescriptions,Si-Jun-Zi-Tang(SJZT) and Shen-Ling-Bai-Zhu-San(SLBZS).METHODS:Decoctions of the tonic Chinese herbal prescriptions,SJZT and SLBZS,were prepared according to Chinese original documents.The pH of the prescription decoctions and their neutralizing effects on artif icial gastric acids were determined and compared with water and the active controls,sodium bicarbonate and colloidal aluminum phosphate.A modified model of Vatier's artificial stomach was used to determine the duration of consistent neutralization effect on artificial gastric acids.The neutralization capacity in vitro was determined with the titration method of Fordtran's model.RESULTS:The results showed that both SJZT and SLBZS have antacid effects in vitro.Compared with the water group,SJZT and SLBZS were found to possess signif icant gastric acid neutralizing effects.The duration for consistent neutralization of SLBZS was signif icantly longer than that of water.Also,SLBZS and SJZT exhibited signif icant antacid capacities compared to water.CONCLUSION:SJZT and SLBZS were consistently active in the artificial stomach model and are suggested to have antacid effects similar to the active control drugs.

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.

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.

中药智慧药学服务的实践与技术分析

目的 分析中药智慧药房的发展现状,总结中药智慧药学服务实践经验,概述其技术要求和发展方向。方法 成都中医药大学附属医院自2018年1月启动智慧中药房项目,建立中药智慧药房,承担门诊中药饮片调剂、煎药、配送等药学服务业务。结果 截至2023年5月已完成中药饮片代煎配送557.2万副,2022年度共服务患者23.14万人次。服务环节更简单,无需等候取药,无需二次到院取药,服务效率高,改善了患者就医体验。结论 中药智慧药学服务发展迅速,未来将依托技术进步建立全程化智慧服务体系。

“中医治未病+人工智能”助力社区居家养老的对策研究

探寻中医“治未病”与信息化人工智能结合,提升社区居家养老慢病健康管理水平的方法路径。以文献查阅、信息检索和以辽宁省沈阳市8个社区居家养老中心为随机对象的实地调研为主,提出三条决策建议:借力“互联网+”人工智能技术,推进社区居家养老慢病健康管理水平;引入中医药“治未病”思想,建立区域人口中医“治未病”信息化人工智能健康管理监测共享平台;加强基层社区居家养老机构中医“治未病”适宜技术人才的培养和中医药服务供给。

人工智能工具促进分子生物学与中药专业有效融合的探索

分子生物学已成为中医药研究的重要方法,它与中药研究的有机结合是推动中药事业创新发展的关键。如何帮助学生更好地掌握分子生物学知识和技能,并与中药学科进行更有效的融合,文章提出可借助人工智能工具,辅助中药专业学生深入学习分子生物学知识。

中医智能诊疗机器人的临床应用研究

研究立足于各类人工智能算法在中医诊断中的应用现状及问题。主要介绍传统机器学习算法以及近年来新兴的深度学习算法与中医四诊相契合的场景;探索将人工智能技术引入中医诊断过程,以进一步推动中医的客观化、定量化发展的智能诊疗机器人设计。针对中国目前中医诊疗仪器在临床领域研发应用现状,引入机器人技术,以促进中医诊疗仪器创新发展,推动中医理论研究与诊疗技术的协同发展,使中医诊疗技术在提高人民健康和生活水平方面发挥重要作用。

基于AI的肺磨玻璃结节中医临床特点研究

目的通过客观、规范的方法分析肺磨玻璃中医临床特点,利用人工智能(AI)分析肺磨玻璃结节恶性风险,初步探究不同风险肺磨玻璃结节中医临床特点,为中医药干预肺结节提供参考。方法采集75例肺磨玻璃结节患者中医四诊信息,运用证素辨证方法提取证素;利用AI判读患者胸部CT,分析不同风险肺磨玻璃结节中医临床特点。结果肺磨玻璃结节患者中医证素以阴虚(77.33%)、气虚(56.00%)、阳虚(54.67%)、血虚(52.00%)等证素多见,亦可见痰(40.00%)、寒(37.33%)、气滞(32.00%)等实性证素;AI判读为高风险组较中低风险组气虚证素权值差异有统计学意义(P<0.05)。结论肺磨玻璃结节患者中医辨证以虚证为主,中医病机为气虚或气滞导致肺之气机不畅,引起局部痰、湿聚集于肺络而形成,而热证、瘀血证较少。

动态不确定因果图在中医诊断中的应用探讨

动态不确定因果图(DUCG)已成为中医药领域新兴的、先进的知识表示与推理模型。为更好地应用DUCG为中医临床提供诊断推理与决策支持,在归纳总结DUCG中医药领域研究与应用情况的基础上,分析现阶段DUCG在中医诊断中存在的主要问题,包括中医术语规范统一和中医药知识库质量问题、推理算法和模型建造的方法选择与设计问题、DUCG中医诊断模型的平台化和产品化问题等,并据此展开应用思路与方法探讨,提出应深挖DUCG的技术内涵,根据临床实际需求选择精准、高效的推理建模方法,建立符合中医药理论思想、具有中医特色的智能辅助诊断模型,加强DUCG协同研究平台及产品的开发应用。

从循证中医到智慧中医:自动系统评价技术和中医快速循证决策

循证中医从产生到发展极大推动了中医决策科学化和规范化,但传统证据产生模式无法满足快速循证决策需求。基于自动系统评价技术的中医药快速决策模式是智慧中医的典型案例,这种“端到端”循证决策模式在“中医药临床证据自动分析及可视化平台”得到验证。

Artificial Intelligence Meets Chinese Medicine

As an interdisciplinary subject of medicine and artificial intelligence, intelligent diagnosis and treatment has received extensive attention. The standardization of Chinese medicine(CM) diagnosis has been always a bottleneck in the modernization and globalization of CM. Studying the application technology of artificial intelligence in CM and solving the problems is an urgent need for the development of modern CM in the era of artificial intelligence. Taking the pneumonia with dyspnea and cough in CM as an example, this article gives an overview of intelligent medical technology and application development, brings forward the present technical problems faced and the new advances in intelligent technology on CM diagnosis and treatment.

数字技术在中医药科技创新中的应用及未来发展趋势

数字化是中医药发展的必然选择,是新形势下中医药科技创新的新动能。随着我国数字经济的不断发展,数字化对中医药科技创新更加重要。系统梳理了当前中医药领域数字化转型发展的现状,从数字技术在中医药科技创新中的应用现状、未来发展趋势、面临的挑战与对策建议三大方面论述了数字技术在中医药科技创新中的地位与作用。在当下和今后很长一段时间,数字化将持续大力推动中医药科技创新,促进中医药科学技术快速发展。

人工智能时代中医药发展面临的法律与伦理问题研究

人工智能技术赋能下,中医药创新发展的同时也将引发一系列的法律和伦理问题。为遵循“科技创新伦理先行”的理念,对中医药领域相关政策、法律法规及其现状的研究和中医药伦理主体内涵及其现状的研究进行分析,探讨了人工智能时代中医药领域可能出现和亟需解决的法律和伦理问题。强调在法律方面应对医患关系、责任主体等根本性问题进行立法,在伦理方面应完善具有中医特色的审查制度并高度重视研究人员在伦理方面的欠缺。