Article(id=1317115000695673754, tenantId=1146029695717560320, journalId=1255847919539208197, issueId=1317114999827452826, articleNumber=null, orderNo=null, doi=10.13193/j.issn.1673-7717.2026.06.001, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791954286979, onlineDateStr=2026-10-14, pubDate=1781020800000, pubDateStr=2026-06-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791954286979, onlineIssueDateStr=2026-10-14, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791954286979, creator=13701087609, updateTime=1791954286979, updator=13701087609, issue=Issue{id=1317114999827452826, tenantId=1146029695717560320, journalId=1255847919539208197, year='2026', volume='44', issue='6', pageStart='1', pageEnd='258', issueExtLink='null', onlineDate='null', pubDate='1781020800000', pubDateStr='2026-06-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791954286772, creator='13701087609', updateTime=1791958677365, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1317133415753831385, tenantId=1146029695717560320, journalId=1255847919539208197, issueId=1317114999827452826, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1317133415753831386, tenantId=1146029695717560320, journalId=1255847919539208197, issueId=1317114999827452826, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1, endPage=4, ext={EN=ArticleExt(id=1317115000938943388, articleId=1317115000695673754, tenantId=1146029695717560320, journalId=1255847919539208197, language=EN, title=Applying Artificial Intelligence Technology to Analyze Objective Manifestations of Propagated Sensation Along Meridians, columnId=1317115000871834523, journalTitle=Chinese Archives of Traditional Chinese Medicine, columnName=New Opinion of Ph.D.Supervisor, runingTitle=null, highlight=null, articleAbstract=

When stimulating human acupoints with methods such as acupuncture or electrical pulses, the subjects experience a special sensation of sourness, fullness and numbness, which starts from the stimulated acupoints and can be transmitted along the classical meridian pathways, which is called propagated sensation along the meridian (PSM). From a physiological point of view, its formation must include the whole process of activities from peripheral receptors, afferent nerves and various links of the central nervous system. However, as the PSM is a subjective sensation phenomenon, although a very important means of acupuncture treatment is how to get the goal of “Qi arrival at affected area”, whether PSMcan be stimulated is the key to “Qi arrival at affected area” and it is also the main manifestation of “Qi arrival at affected area” in traditional Chinese acupuncture and moxibustion. At present, it is currently difficult to show it with objective representation. Thus, it affects the clinical application and promotion. With the rapid development of science and technology in China, artificial intelligence (AI) image recognition technology and data analysis provide excellent conditions for the study of meridians in traditional Chinese medicine. This article took this as a starting point, applying AI infrared image recognition technology and data analysis to clarify the objective manifestations of PSM, providing a scientific basis for improving the clinical efficacy and mechanism of action of acupuncture.

, authors=Jinsen XU^{1, 2}, Guangfa TANG³, Xiaoxiang ZHU^{1, 2}, Zizhen LU³, Yaqin DONG^{1, 2}, Huimin GAO⁴, Xiaoran YE^{1, 2}, Lili ZHOU^{1, 2}, Shuru LIU^{1, 2}, authorsList=Jinsen XU, Guangfa TANG, Xiaoxiang ZHU, Zizhen LU, Yaqin DONG, Huimin GAO, Xiaoran YE, Lili ZHOU, Shuru LIU, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1317115001215767453, articleId=1317115000695673754, tenantId=1146029695717560320, journalId=1255847919539208197, language=CN, title=应用人工智能技术分析循经感传的客观表征, columnId=1256183426563096985, journalTitle=中华中医药学刊, columnName=博士导师新论, runingTitle=null, highlight=null, articleAbstract=

以针刺或电脉冲等方法刺激人体穴位时，受试者会产生一种酸、胀、麻等特殊的感觉，从被刺激的穴位开始，沿着古典的经络循行路线传导，这种现象称为循经感传现象。从生理学的角度来看，它的形成必然包括从外周感受器、传入神经以及中枢神经系统各个环节活动的全过程。循经感传是一种主观感觉现象，针灸治病非常重要的手段就是做到“气至病所”，而循经感传能否被激发出来则是“气至病所”的关键所在，也是针灸中所阐述“气致病所”的主要表现形式，目前尚难以用客观的表征将其展现出来，从而影响了临床上的应用和推广。随着我国科学技术突飞猛进的发展，人工智能图像识别技术和数据分析为中医经络研究提供了很好条件。以此为切入点，应用人工智能红外图像识别技术及数据分析明确循经感传的客观表征，为提高针灸临床的疗效及作用机制提供科学依据。

, authors=许金森^{1, 2}, 唐广发³, 朱小香^{1, 2}, 卢子枕³, 董亚琴^{1, 2}, 高慧敏⁴, 叶笑然^{1, 2}, 周丽莉^{1, 2}, 刘淑如^{1, 2}, authorsList=许金森, 唐广发, 朱小香, 卢子枕, 董亚琴, 高慧敏, 叶笑然, 周丽莉, 刘淑如, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=H192bAp4j5CCWtyBQGhr4w==, magXml=b2t1ouPjvDfLO9yUf+m2XQ==, pdfUrl=null, pdf=Ewivan0fiVF4BuiqJIfaYg==, pdfFileSize=3265248, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=214Q4W8Kc+jQ6Z0xRZTAaw==, mapNumber=null, fund=null)}, authors=[Author(id=1319631203355967967, tenantId=1146029695717560320, journalId=1255847919539208197, articleId=1317115000695673754, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1319631203431465442, tenantId=1146029695717560320, journalId=1255847919539208197, articleId=1317115000695673754, authorId=1319631203355967967, language=EN, stringName=Jinsen XU, firstName=Jinsen, middleName=null, lastName=XU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=^1.Fujian Academy of Chinese Medical Sciences, Fuzhou 350003, Fujian, China
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^2.福建省经络感传重点实验室，福建 福州 350003, bio={"content":"

许金森（1963-），男，福建莆田人，研究员，博士研究生导师，硕士，研究方向：经络感传与针灸作用机制。

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许金森（1963-），男，福建莆田人，研究员，博士研究生导师，硕士，研究方向：经络感传与针灸作用机制。

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