ObjectiveTo construct a scale for the diagnosis of chronic atrophic gastritis （CAG） with turbid toxin accumulating in the stomach. MethodsFirst， a research group was established to construct the scale framework. Relevant literature of CAG with syndrome of turbid toxin accumulating in the stomach was searched in CNKI， Wanfang Database （WF）， and VIP Database （CQVIP） from April 1， 2003 to April 1， 2023， and items were preliminarily selected after standardization of terms. Through clinical investigation， the discrete trend method， correlation coefficient method， Cronbach's coefficient method， and factor analysis method were used to screen symptom items， and the frequency method was used to screen signs， tongue coating， and pulse conditions. Three rounds of Delphi expert consultation were conducted to determine the items of the scale. The weight of each item was obtained by the analytic hierarchy process. ResultsA total of 49 articles were included， and 45 items were obtained after primary screening， including 28 symptoms， 2 signs， 10 tongue coatings， and 5 pulse conditions. After clinical investigation， 15 symptoms were retained， and 8 signs and pulse conditions of tongue coating were retained. The positive coefficients of experts in three rounds of Delphi expert consultation were 100%， 96.67%， and 100%， respectively. The expert authority coefficients were 0.86， 0.87， and 0.87， respectively， and the coordination coefficients were 0.18， 0.25， and 0.30. After core group discussion， Delphi method investigation， and AHP weight assignment， the diagnostic scale items of CAG with turbid toxin accumulating in stomach syndrome were finally established， namely， dark red or purplish tongue proper with yellow greasy （or dry） coating （30 points）， epigastric stuffiness and fullness or pain （15 points）， sticky and unsmooth defecation （10 points）， taste disturbance （sticky mouth， fetid breath， bitter taste， 7 points）， heartburn or acid regurgitation （6 points）， dizziness and clouding （5 points）， general heaviness and fatigue （5 points）， slippery， string‑slippery， or slippery‑rapid pulse （5 points）， dysuria （or yellow or deep yellow urine， 4 points）， poor appetite （4 points）， dull complexion （3 points）， sticky， greasy， and fetid secretions （3 points）， and poor sleep （3 points）. ConclusionBased on the establishment， screening， confirmation， and weighting of an item pool， combined with subjective and objective approaches as well as qualitative and quantitative methods， a diagnostic scale for CAG with the syndrome of turbid toxin accumulating in the stomach was successfully constructed.

The emergence of generative pre-training transformer(GPT)and large language models(LLMs)has brought transformative applications to the medical field.In traditional Chinese medicine,LLMs offer unique opportunities to address in efficiencies in clinical workflows and improve the patient experience.However,the seprospects have challenges,including data quality,security and privacy,disinformation,ethics,and other issues.This paper systematically elaborates on the application of Large Language Models(LLMs)in Traditional Chinese Medicine(TCM),highlighting their value in improving TCM services,enhancing teaching effectiveness,and optimizing healthcare management processes,while conducting an in-depth analysis of potential technical and ethical challenges during real-world implementation.Preventive measures are necessary to ensure the safe and unbiased use of large language models in TCM clinical practice.We encourage clinicians and researchers to address current challenges and optimize largelanguage models while reducing associated risks.The deployment and implementation of large language models in TCM clinical practice will significantly contribute to the dissemination and development of TCM culture.

The emergence of generative pre-training transformer(GPT)and large language models(LLMs)has brought transformative applications to the medical field.In traditional Chinese medicine,LLMs offer unique opportunities to address in efficiencies in clinical workflows and improve the patient experience.However,the seprospects have challenges,including data quality,security and privacy,disinformation,ethics,and other issues.This paper systematically elaborates on the application of Large Language Models(LLMs)in Traditional Chinese Medicine(TCM),highlighting their value in improving TCM services,enhancing teaching effectiveness,and optimizing healthcare management processes,while conducting an in-depth analysis of potential technical and ethical challenges during real-world implementation.Preventive measures are necessary to ensure the safe and unbiased use of large language models in TCM clinical practice.We encourage clinicians and researchers to address current challenges and optimize largelanguage models while reducing associated risks.The deployment and implementation of large language models in TCM clinical practice will significantly contribute to the dissemination and development of TCM culture.

Taking chronic atrophic gastritis （CAG） as an example， the frontier technologies in data science have been introduced into the inheritance， innovation and development of traditional Chinese medicine （TCM）， providing reference for conducting real-world clinical research on specialized diseases of TCM. This paper put forward the construction of CAG data science system by elaborating the connotation of data science and its application value in TCM， and discussed the path to build CAG data science system， namely through "data acquisition-knowledge expression-knowledge reasoning" to establish CAG database， knowledge base and develop diagnosis platform differentiating diseases and syndromes. Besides， this paper analyzed the prospects of CAG data science in improving data governance ability and knowledge discovery efficiency， deepening the level of knowledge sharing， promoting interdisciplinary integration， and strengthening the integration process of industry， academia and research.

ObjectiveTo construct traditional Chinese medicine （TCM） diagnostic scale of turbid toxin syndrome in order to provide corresponding reference for the standardization of TCM syndromes and studies. MethodsWe systematically searched the Chinese Medical Dictionary （CMD）， China Knowledge Network （CNKI）， Wanfang Data Knowledge Service Platform （WF） and VIP database for TCM classics and modern literature on turbid toxin syndrome， and initially screened the four diagnosis information of turbid toxin syndrome， established a pool of information entries， and conducted a cross-sectional clinical survey. Discrete trend method， correlation coefficient method， Cronbach's coefficient method， and factor analysis method were applied to objectively screen the entries. The diagnostic scale of turbid toxin syndrome were constructed through three rounds of Delphi method expert survey to determine the scale entries， using hierarchical analysis to get the judgement matrix scores and relative weight of each entry， after passing consistency test and then isometric expansion of the relative weight of the entries to get the weight of each entry and assign the value. ResultsA total of 35 articles were included， 45 entries were obtained after the initial screening. After the clinical investigation， 12 entries were not suitable by the discrete trend method， 23 entries not suitable by correlation coefficient method， 13 entries by the internal consistency screening were removed with the Cronbach's alpha coefficient rising， and 10 entries not suitable by the factor analysis method. Twenty-two entries were retained after objective screening by the combined use of the four statistical methods. The positive coefficients of experts in the three rounds of Delphi method of expert consultation were 96.67%， the coefficients of expert authority were 0.834， 0.856， and 0.867， and the coefficients of co-ordination were 0.126， 0.326， and 0.312， respectively. After consulting with clinical experts， and three rounds of Delphi method survey and hierarchical analysis method weight assignment， the diagnostic scale entries of turbid toxin syndrome were finally established. Primary symptoms： dark red or purple and dusky tongue， yellowish greasy or dry coating （10 points）； sticky and unpleasant stools （8 points）； disharmony of tastes including halitosis， sticky and greasy taste in the mouth， dry mouth and bitter taste in the mouth （6 points）； unfavourable or yellowish or red urination （5 points）； and dark complexion （4 points）. Secondary symptoms： heavy body （3 points）； dizziness （3 points）； profuse， sticky， foul-smelling secretions （2 points）； wiry and slippery， or slippery， or slippery and rapid pulse （2 points）； feeling of hardness in the abdomen （1 point）. ConclusionUsing Delphi method combined with the hierarchical analysis method， combining qualitative and quantitative study， a diagnostic scale of turbid toxin syndrome was initially developed.

Objective To quantitatively analyze the palpebral fissure changes in the neostigrnine tests with videonystagmography.Methods Thirty-five patients with myasthenia gravis ( MG),21 non-MG patients and 23 healthy volunteers were intramuscular injected with neostigmine methylsulfate(0.02 mg/kg) and atropine(0.5 mg).The width of palpebral fissure was measured before and after the injection for one hour( once every 10 minutes).The differences of palpebral fissure width of each time point within each group and between groups were analyzed quantitatively with repetitive measure ANOVA.Results There was a significant difference of palpebral fissures (mm) width at different time points within the MG group( before the test:4.67 ± 1.87,after the test:10 min:0.88 ±0.96,20 min:1.49 ± 1.38,30 min:1.71 ± 1.53,40 min:1.77 ± 1.82,50 min:1.79 ± 1.52,60 min:1.62 ± 1.68 ; F =11.202,P =0.002).There were also significant changes of palpebral fissures width in the MG group compared to the non-MG group and the normal control group (F =15.569,P ＜ 0.01; F =15.104,P ＜ 0.01 ).There was alsostatistical significance in the rate of change between these groups.Receiver operating characteristic analytical procedure indicated that 1.17 mm or 17.5％ was of better diagnostic capability in the neostigmine test.Conclusions Measuring palpebral fissure width with videonystagmography could be seen as an objective and accurate method.A patient with palpebral fissure width higher than 1.17 mm or 17.5％ should be highly suspected as MG.