AIM: To observe the changes of corneal densitometry(CD)and higher-order aberrations after small incision lenticule extraction(SMILE), and to explore their correlations and influencing factors.METHODS: Prospective study. A total of 62 high-degree myopia and compound myopic astigmatism patients(62 eyes)who underwent SMILE in Urumqi Aier Eye Hospital from December 2022 to November 2023 were collected. The CD, root mean square of corneal higher-order aberrations(RMS HOA), spherical aberration, vertical coma, horizontal coma, and corneal epithelial thickness(CET)of the patients were measured before surgery, and at 1 d, 1 wk, 1, 3, and 6 mo after surgery, respectively.RESULTS:There were 4 patients lost to follow-up during the period, all due to failure to attend scheduled reexaminations. The number of complete and valid cases was 58 eyes. The CD in the central and paracentral regions of the anterior, middle, and total layer of the cornea increased significantly on the first day after surgery(all P<0.003). At 6 mo after surgery, there was a slight but statistically significant decrease in the CD of the central and paracentral regions of the anterior and the total anterior layer(all P<0.003). Compared with the preoperative baseline values, the RMS HOA, spherical aberration, and vertical coma significantly increased at 6 mo after surgery(all P<0.003), while the change in horizontal coma was not statistically significant. Compared with the preoperative baseline values, the CET in the central, paracentral, and peripheral regions of the cornea, as well as the total average CET in the 0-7 mm range of the cornea increased at 6 mo after surgery(all P<0.003). At 1 d after surgery, CD of the anterior layer and total layer in the central region of the cornea were positively correlated with the CET in the central region(rs=0.327, rs=0.250, all P<0.05). At 6 mo after the surgery, the CD of the middle layer and posterior layer in the central corneal region were negatively correlated with the preoperative spherical equivalent and the change of RMS HOA(all P<0.05).CONCLUSION:The anterior CD decreases at 6 mo after SMILE for high myopia correction, and there is a certain correlation between the changes in CD and some clinical parameters.

This article summarizes Academician WANG Yongyan′s experience in the differentiation and treatment of motor neuron disease, which can be categorized into flaccidity syndrome, convulsive syndrome, and fei syndrome according to the clinical manifestations. These three syndromes may coexist, and the condition progressively worsens over time, which is believed to be caused by external pathogenic qi, based on "deficient-qi induced stagnation" , and with "toxins damaging collaterals" as the core etiology and pathogenesis. "Toxins damaging collaterals" involves three levels of qi collaterals, blood collaterals, and fluid collaterals, gradually overlapping and affecting the marrow collaterals. Academician WANG Yongyan′s theory is based on syndrome differentiation, breaking down the boundaries of flaccidity, convulsive, and fei syndromes according to different manifestations of the disease, and using the concept of "combined treatment" for treatment. The clinical presentation of motor neuron disease shows a bottom-up trend in the development of the sanjiao, and the combination of visceral syndrome differentiation and sanjiao syndrome differentiation can grasp the progress of the disease comprehensively. During the process of syndrome differentiation, the focus is on the use of xiang thinking, emphasizing the holistic correlation between diseases and syndromes and the integrated effect of reductionist analysis. Treatment is based on xiang differentiation and individualized treatment. The mid-stage of motor neuron disease is the key time point for the treatment of this disease. Based on the clinical symptoms of flaccidity, convulsive, and fei syndromes, where treatment should focus on reinforcing the spleen and kidney, combining moxibustion with herbal medicine. While targeting the disease, treatment should comprehensively apply the methods of "promoting, supplementing, softening, and warming" to eliminate toxins and unblock collaterals, and restore the neural regulation of the brain and spinal cord.

Helicobacter Pylori(Hp)is a spiral bacterium that colonized on the surface of gastric muco-sal epithelium.It is the main cause of gastrointestinal diseases because human is the only natural host and can survive in gastric acid.In recent years,relevant clinical studies have shown that Hp infection is closely related to hematological diseases such as allergic purpura(HSP),immune thrombocytopenic purpura(ITP),iron de-ficiency anemia(IDA),megaloblastic anemia(MA),lymphoma,leukemia and so on.Therefore,for Hp infec-tion,early diagnosis and treatment are of great significance for improving the efficacy of hematological diseases.

BACKGROUND:As tissue engineering brings new hope to the worldwide problem of articular cartilage repair,the construction of light-curing 3D printed hydrogel scaffolds with biomimetic composition is of great significance for cartilage tissue engineering. OBJECTIVE:To construct a biomimetic methacryloylated hyaluronic acid/acellular Wharton's jelly composite hydrogel scaffold by digital light processing 3D printing technology,and to evaluate its biocompatibility. METHODS:Wharton's jelly was isolated and extracted from human umbilical cord,then decellulated,freeze-dried,ground into powder,and dissolved in PBS to prepare 50 g/L acellular Wharton's jelly solution.Methylallylated hyaluronic acid was prepared,lyophilized and dissolved in PBS to prepare 50 g/L methylallylated hyaluronic acid solution.Acellular Wharton's jelly solution was mixed with methacrylyacylated hyaluronic acid solution at a volume ratio of 1:1,and was used as bio-ink after adding photoinitiator.Methylacrylylated hyaluronic acid hydrogel scaffolds(labeled as HAMA hydrogel scaffolds)and methylacrylylated hyaluronic acid/acellular Wharton's jelly gel scaffolds(labeled as HAMA/WJ hydrogel scaffolds)were prepared by digital light processing 3D printing technology,and the microstructure,swelling performance,biocompatibility,and cartilage differentiation performance of the scaffolds were characterized. RESULTS AND CONCLUSION:(1)Under scanning electron microscope,the two groups of scaffolds showed a three-dimensional network structure,and the fiber connection of HAMA/WJ hydrogel scaffold was more uniform.Both groups achieved swelling equilibrium within 10 hours,and the equilibrium swelling ratio of HAMA/WJ hydrogel scaffold was lower than that of HAMA hydrogel scaffold(P＜0.05).(2)CCK-8 assay showed that HAMA/WJ hydrogel scaffold could promote the proliferation of bone marrow mesenchymal stem cells compared with HAMA hydrogel scaffold.Dead/live staining showed that bone marrow mesenchymal stem cells grew well on the two groups of scaffolds,and the cells on the HAMA/WJ hydrogel scaffolds were evenly distributed and more cells were found.Phalloidine staining showed better adhesion and spread of bone marrow mesenchymal stem cells in HAMA/WJ hydrogel scaffold than in HAMA.(3)Bone marrow mesenchymal stem cells were inoculated into the two groups for chondrogenic induction culture.The results of qRT-PCR showed that the mRNA expressions of agglutinoglycan,SOX9 and type Ⅱ collagen in the HAMA/WJ hydrogel scaffold group were higher than those in the HAMA hydrogel scaffold group(P＜0.05,P＜0.01).(4)These findings indicate that the digital light processing 3D bioprinting HAMA/WJ hydrogel scaffold can promote the proliferation,adhesion,and chondrogenic differentiation of bone marrow mesenchymal stem cells.

This article explores the practical situation,construction significance,core points,and enhancement dimensions in constructing the discourse system of traditional Chinese medicine from a macro perspective.It also examines the ways linguistics can help alleviate the challenges in this process.The discourse system of traditional Chinese medicine has gone through three stages.The theory is currently unclear,and the discourse cannot be transmitted without fundamentally solving the problem of"aphasia."The discourse system of traditional Chinese medicine is an inevitable requirement for creating modern and international traditional Chinese medicine models.Its construction must form a subjective understanding of the discourse system,strengthen the advantage of originality,establish an expression paradigm of original system interpretation and new expressions of modern novel quality development,and build an influential international discourse system.The improvement dimension of the discourse system of traditional Chinese medicine should focus on domestic popularization and global dissemination.Strong strategic support should be provided using the epistemological and methodological frameworks of both traditional and modern linguistics.

Objective:To carry out a study on the cost analysis of the clinical use of Artificial Intelligence-assisted Diagnosis Technology for Coronary CT Angiography(CCTA-AI)to explore the cost differences and cost effects of Coronary CT Angiography(CCTA)examinations before and after the introduction of Artificial Intelligence(AI),and analyze the impact of the application of AI technology on the high-quality development of public hospitals.Methods:The operation cost method was used to measure the changes in the cost and efficiency of CCTA examinations before and after the application of AI technology in five sample hospitals in Beijing,and diagnostic accuracy was used as the effect value to calculate the cost effect of CCTA-AI diagnosis versus CCTA-manual diagnosis,and to analyze the main factors affecting the unit cost.Results:The average cost of examination in 5 sample hospitals after the application of AI-assisted diagnosis system was 1 074.90 yuan,and 1 266.61 yuan before the application,with a large difference between institutions.The cost-effectiveness analysis based on diagnostic accuracy showed that the AI group had an absolute advantage over the manual group,with a cost of 1 074 900 yuan for the AI group and an effectiveness of 855.05 persons,and a cost of 1 266 610 yuan for the physician group,with an effectiveness of 815.07 persons for the high-year-end physician group,and an effectiveness of 793.40 persons for the low-year-end physician group;0.46 man-hours could be saved for each patient examined;the unit cost of CCTA examination was affected by a number of factors,among which"the number of annual examinations"and"the number of CT units involved in CCTA examination"had the greatest influence on the unit cost of CCTA examination.Conclusion:The application of AI-assisted diagnostic technology can promote the improvement of quality and efficiency in public hospitals in a certain extent,and help optimize the overall distribution of medical resources at the system level.In the future,the cost analysis of AI technology should be further strengthened to comprehensively assess its actual contribution to the healthcare system.

Objective:To carry out a study on the cost analysis of the clinical use of Artificial Intelligence-assisted Diagnosis Technology for Coronary CT Angiography(CCTA-AI)to explore the cost differences and cost effects of Coronary CT Angiography(CCTA)examinations before and after the introduction of Artificial Intelligence(AI),and analyze the impact of the application of AI technology on the high-quality development of public hospitals.Methods:The operation cost method was used to measure the changes in the cost and efficiency of CCTA examinations before and after the application of AI technology in five sample hospitals in Beijing,and diagnostic accuracy was used as the effect value to calculate the cost effect of CCTA-AI diagnosis versus CCTA-manual diagnosis,and to analyze the main factors affecting the unit cost.Results:The average cost of examination in 5 sample hospitals after the application of AI-assisted diagnosis system was 1 074.90 yuan,and 1 266.61 yuan before the application,with a large difference between institutions.The cost-effectiveness analysis based on diagnostic accuracy showed that the AI group had an absolute advantage over the manual group,with a cost of 1 074 900 yuan for the AI group and an effectiveness of 855.05 persons,and a cost of 1 266 610 yuan for the physician group,with an effectiveness of 815.07 persons for the high-year-end physician group,and an effectiveness of 793.40 persons for the low-year-end physician group;0.46 man-hours could be saved for each patient examined;the unit cost of CCTA examination was affected by a number of factors,among which"the number of annual examinations"and"the number of CT units involved in CCTA examination"had the greatest influence on the unit cost of CCTA examination.Conclusion:The application of AI-assisted diagnostic technology can promote the improvement of quality and efficiency in public hospitals in a certain extent,and help optimize the overall distribution of medical resources at the system level.In the future,the cost analysis of AI technology should be further strengthened to comprehensively assess its actual contribution to the healthcare system.

Objective:To carry out a study on the cost analysis of the clinical use of Artificial Intelligence-assisted Diagnosis Technology for Coronary CT Angiography(CCTA-AI)to explore the cost differences and cost effects of Coronary CT Angiography(CCTA)examinations before and after the introduction of Artificial Intelligence(AI),and analyze the impact of the application of AI technology on the high-quality development of public hospitals.Methods:The operation cost method was used to measure the changes in the cost and efficiency of CCTA examinations before and after the application of AI technology in five sample hospitals in Beijing,and diagnostic accuracy was used as the effect value to calculate the cost effect of CCTA-AI diagnosis versus CCTA-manual diagnosis,and to analyze the main factors affecting the unit cost.Results:The average cost of examination in 5 sample hospitals after the application of AI-assisted diagnosis system was 1 074.90 yuan,and 1 266.61 yuan before the application,with a large difference between institutions.The cost-effectiveness analysis based on diagnostic accuracy showed that the AI group had an absolute advantage over the manual group,with a cost of 1 074 900 yuan for the AI group and an effectiveness of 855.05 persons,and a cost of 1 266 610 yuan for the physician group,with an effectiveness of 815.07 persons for the high-year-end physician group,and an effectiveness of 793.40 persons for the low-year-end physician group;0.46 man-hours could be saved for each patient examined;the unit cost of CCTA examination was affected by a number of factors,among which"the number of annual examinations"and"the number of CT units involved in CCTA examination"had the greatest influence on the unit cost of CCTA examination.Conclusion:The application of AI-assisted diagnostic technology can promote the improvement of quality and efficiency in public hospitals in a certain extent,and help optimize the overall distribution of medical resources at the system level.In the future,the cost analysis of AI technology should be further strengthened to comprehensively assess its actual contribution to the healthcare system.

Objective:To carry out a study on the cost analysis of the clinical use of Artificial Intelligence-assisted Diagnosis Technology for Coronary CT Angiography(CCTA-AI)to explore the cost differences and cost effects of Coronary CT Angiography(CCTA)examinations before and after the introduction of Artificial Intelligence(AI),and analyze the impact of the application of AI technology on the high-quality development of public hospitals.Methods:The operation cost method was used to measure the changes in the cost and efficiency of CCTA examinations before and after the application of AI technology in five sample hospitals in Beijing,and diagnostic accuracy was used as the effect value to calculate the cost effect of CCTA-AI diagnosis versus CCTA-manual diagnosis,and to analyze the main factors affecting the unit cost.Results:The average cost of examination in 5 sample hospitals after the application of AI-assisted diagnosis system was 1 074.90 yuan,and 1 266.61 yuan before the application,with a large difference between institutions.The cost-effectiveness analysis based on diagnostic accuracy showed that the AI group had an absolute advantage over the manual group,with a cost of 1 074 900 yuan for the AI group and an effectiveness of 855.05 persons,and a cost of 1 266 610 yuan for the physician group,with an effectiveness of 815.07 persons for the high-year-end physician group,and an effectiveness of 793.40 persons for the low-year-end physician group;0.46 man-hours could be saved for each patient examined;the unit cost of CCTA examination was affected by a number of factors,among which"the number of annual examinations"and"the number of CT units involved in CCTA examination"had the greatest influence on the unit cost of CCTA examination.Conclusion:The application of AI-assisted diagnostic technology can promote the improvement of quality and efficiency in public hospitals in a certain extent,and help optimize the overall distribution of medical resources at the system level.In the future,the cost analysis of AI technology should be further strengthened to comprehensively assess its actual contribution to the healthcare system.

Objective:To carry out a study on the cost analysis of the clinical use of Artificial Intelligence-assisted Diagnosis Technology for Coronary CT Angiography(CCTA-AI)to explore the cost differences and cost effects of Coronary CT Angiography(CCTA)examinations before and after the introduction of Artificial Intelligence(AI),and analyze the impact of the application of AI technology on the high-quality development of public hospitals.Methods:The operation cost method was used to measure the changes in the cost and efficiency of CCTA examinations before and after the application of AI technology in five sample hospitals in Beijing,and diagnostic accuracy was used as the effect value to calculate the cost effect of CCTA-AI diagnosis versus CCTA-manual diagnosis,and to analyze the main factors affecting the unit cost.Results:The average cost of examination in 5 sample hospitals after the application of AI-assisted diagnosis system was 1 074.90 yuan,and 1 266.61 yuan before the application,with a large difference between institutions.The cost-effectiveness analysis based on diagnostic accuracy showed that the AI group had an absolute advantage over the manual group,with a cost of 1 074 900 yuan for the AI group and an effectiveness of 855.05 persons,and a cost of 1 266 610 yuan for the physician group,with an effectiveness of 815.07 persons for the high-year-end physician group,and an effectiveness of 793.40 persons for the low-year-end physician group;0.46 man-hours could be saved for each patient examined;the unit cost of CCTA examination was affected by a number of factors,among which"the number of annual examinations"and"the number of CT units involved in CCTA examination"had the greatest influence on the unit cost of CCTA examination.Conclusion:The application of AI-assisted diagnostic technology can promote the improvement of quality and efficiency in public hospitals in a certain extent,and help optimize the overall distribution of medical resources at the system level.In the future,the cost analysis of AI technology should be further strengthened to comprehensively assess its actual contribution to the healthcare system.