The Expert Consensus on the Deployment of DeepSeek in Medical Institutions serves as a detailed guideline for the deployment of DeepSeek in medical institutions. It was developed by experts in the fields of healthcare， hospital management， medical information， health policy， law， and medical ethics from nearly 30 leading domestic medical and academic research institutions， based on relevant domestic and international laws and regulations as well as the practices of medical institutions. It aims to provide medical institutions with a scientific， standardized， and secure deployment guideline to ensure that the application of artificial intelligence （AI） technologies in healthcare， including but not limited to DeepSeek， conforms to the unique characteristics of the healthcare industry and effectively promotes the improvement of medical service levels. From the three aspects of pre-deployment evaluation， deployment implementation， and post-deployment management and monitoring， the key factors that medical institutions should consider when introducing DeepSeek were elaborated in detail， including medical demand compatibility， technical capabilities and infrastructure， legal and ethical risks， data preparation and management， model selection and optimization， system integration and training， performance monitoring and continuous optimization， risk management and emergency response， as well as compliance review and evaluation. This provides a comprehensive deployment framework for medical institutions to ensure the safety and effectiveness of technology applications.

Objective To study the predictive value of the Prognostic Assessment Scale for Patients with Spontaneous Intracerebral Hemorrhage(ICH-LR2S2)and the Prehospital Risk Assessment Scale for Prehospital Deterioration Risk Assessment Scale(ICH-APS)for the development of stroke-associated pneu-monia(SAP)in patients with spontaneous intracerebral hemorrhage.Methods A total of 349 patients with spontaneous intracerebral hemorrhage who were hospitalized for the first time in this hospital from July 2023 to July 2024 were selected as the research subjects.The general demographic data and medical documentations of the patients were collected,and ICH-LR2S2 score and ICH-APS score were carried out within 48 hours after admission.According to whether pneumonia occurred within 7 days after admission,the patients were divided into the SAP group and the non-SAP group,and the diagnostic efficiency of the ICH-LR2S2 score and ICH-APS score for SAP in patients with spontaneous intracerebral hemorrhage was evaluated.Results Among the 349 patients with spontaneous intracerebral hemorrhage,98 patients(28.08％)had pneumonia.The results of multivariate logistic regression analysis showed that age,history of chronic obstructive pulmonary disease(COPD),nasogastric tube,tracheal intubation,National Institutes of Health Stroke Scale(NIHSS)score,Glasgow Coma Scale(GCS)score,C-reactive protein,fasting blood glucose,dysphagia,ICH-LR2S2 score,ICH-APS-A score,and ICH-APS-B score were independent influencing factors for SAP in patients with spontane-ous intracerebral hemorrhage(P＜0.05).The results of the receiver operating characteristic(ROC)curve showed that the ICH-LR2S2 score had the highest diagnostic efficiency for SAP in patients with spontaneous intracerebral hemorrhage,with an area under the curve(AUC)of 0.837,a sensitivity of 0.827,a specificity of 0.783,and a Youden index of 0.610.Conclusion ICH-LR2S2 score has a high predictive value for the occur-rence of SAP in patients with spontaneous intracerebral hemorrhage.

Objective:To analyze the medication law of Professor Liu Guangzhen in the treatment of diabetic nephropathy (DN) with qi-yin deficiency and blood stasis syndrome using data mining methods.Methods:From March 2023 to April 2024, the TCM outpatient prescriptions used by Professor Liu to treat DN with qi-yin deficiency and blood stasis syndrome were collected. The database was established by Excel 2019, and the property, taste, meridian, and use frequency of drugs were analyzed through the TCM inheritance assistance system V2.5. The Apriori algorithm in IBM SPSS Modeler 18.0 was used to analyze the association rules and draw the network diagram of high-frequency drugs, and the two-step hidden tree analysis algorithm (LTM-EAST) in the Lantern 5.0 was used to establish the hidden structure model of high-frequency Chinese materia medica. The obtained hidden variables were clustered and interpreted comprehensively, and scored by Bayesian information measure (BIC).Results:A total of 314 prescriptions were included, involving 182 kinds of Chinese materia medica, with a total frequency of 9 242 times. High frequency Chinese materia medica included Astragali Radix, Saposheikovize Radix, Atractylodis Macrocephalae Rhizoma fried with wheat bran, Litchi Semen, Hedyotis diffusa willd, Benincasae Exocarpium, Mori Folium, etc. The medicinal property was mainly warm, the tastes were mainly sweet, bitter and pungent, and the meridian tropism was mainly spleen, stomach, liver and kidney meridians. The efficacy classification was mainly tonic drugs, heat-clearing drugs, water-clearing and dampness-percolating drugs, and blood circulation-activating drugs. There were 150 association rules of high-frequency Chinese materia medica, including Astragali Radix-Saposheikovize Radix, Atractylodis Macrocephalae Rhizoma fried with wheat bran-Hedyotis diffusa willd, Saposheikovize Radix-Benincasae Exocarpium, etc. A total of 15 hidden variables, 30 hidden classes and 5 comprehensive clustering models were obtained by hidden structure model analysis.Conclusions:Professor Liu's treatment of DN withqi-yin deficiency and blood stasis syndrome is mainly based on tonifying qi and yin, tonifying spleen and kidney, removing dampness and turbidity and removing blood stasis. According to different conditions, the focus of medication has changed.

Objective To explore the environmental factors affecting the growth of Lonicera japonica Thunb.;To predict the suitable areas of L.japonica in China under current and future climate conditions.Methods Totally 2 553 pieces of L.japonica distribution information and 19 environmental factors were collected.MaxEnt model was used to screen the main environmental factors affecting the growth of L.japonica.Combined with ArcGIS 10.8 software,this article simulated the suitable area of L.japonica in our country under current and future climate conditions.Results The main environmental factors affecting the distribution of L.japonica were the lowest temperature in the coldest month,the average daily temperature range,the precipitation in the wettest quarter and the annual temperature range.Under the current climate conditions,the suitable area of L.japonica in China was about 318.29×104 km2,which was mainly distributed in central and southern China.Under the future climate scenario,the total suitable area would decrease.Conclusion This study predicted distribution of L.japonica resources and ecological suitability areas can provide theoretical basis for its wild cultivation,rational cultivation,and resource protection.

Objective:To investigate the role of iron death in paraquat (PQ) -induced alveolar epithelial mesangialization (EMT) .Methods:In August 2023, the appropriate PQ staining concentration as well as the intervention concentration of lipoinhibitor-1 (Lip-1) were screened by CCK8 method. The RLE-6TN cells were divided into three groups, which were control group, PQ group and iron death inhibition group, 200 μmol/L PQ solution was given to the PQ group, and PQ 200 μmol/L and 0.1 μmol/L Lip-1 solution was given to the iron death inhibition group, the control group was added the same amount of cell medium. morphological changes and migratory viability of the cells in each group were observed at 12 h, 24 h and 48 h after the poisoning, and the contents of ferrous ions (Fe 2+), reactive oxygen radicals (ROS), glutathione (GSH), superoxide dismutase (SOD), and malondialdehyde (MDA) were detected in each group; meanwhile, qRT-PCR and western-blot were used to determine the molecular expression of E-cadherin, α-smooth muscle actin (α-SMA), and Collagen I in the cells in each group. The difference between group was compared by ANOVA, and the further pairwise comparison was conducted by Bonferroni method. Results:Cell viability was detected using CCK8, and the results showed that the cell survival rate of RLE-6TN cells treated with 200 μmol/L PQ+0.1 μmol/L Lip-1 solution was 56.6%. The migration activity of RLE-6TN cells in the iron death inhibition group was weaker than that in the PQ group after 24 and 48 hours of exposure, and the degree of EMT changes in the cells was reduced compared to the PQ group. After 12, 24, and 48 hours of exposure, the Fe 2+ concentration, ROS fluorescence intensity, and MDA content in the iron death inhibition group decreased compared to the corresponding time points in the PQ group ( P<0.05/3), while compared with PQ group, the GSH concentration and SOD concentration increased compared to the corresponding time points in the PQ group ( P<0.05/3). The results showed that compared with the control group, the expression levels of E-cadherin mRNA and protein in PQ group and iron death inhibition group were both decreased ( P<0.05/3), while compared with PQ group, the expression levels of E-cadherin mRNA and protein in iron death inhibition group were increased ( P<0.05/3) ; Compared with the control group, the expression levels of α-SMA, Collagen I mRNA and protein in PQ group and iron death inhibition group cells increased ( P<0.05/3), while compared with PQ group, the expression levels of α-SMA, Collagen I mRNA and protein in iron death inhibition group cells decreased ( P<0.05/3) . Conclusion:Ferroptosis is involved in the EMT process of alveolar epithelial cells induced by PQ. Inhibiting ferroptosis can reduce cellular oxidative damage and alleviate the degree of cellular EMT.

Objective:To explore the impact of the fear of disease progression on the return-to-work readiness of patients after percutaneous coronary intervention (PCI) , and the chain mediating effect of psychological consistency and disease acceptance between the two factors.Methods:A convenience sampling method was used to select 198 PCI patients at the Affiliated Hospital of Jining Medical University from February 2023 to May 2024. The General Information Survey, Return-To-Work Readiness Scale, Fear of Progression Questionnaire-Short Form, Acceptance Illness Scale, and Sense of Coherence-13 were used to investigate the patients.Results:A total of 198 questionnaires were distributed, with 178 valid questionnaires returned, yielding an effective response rate of 89.90%. Among the patients' return-to-work readiness, 42 patients were in the pre-intention stage, 60 patients in the intention stage, 36 patients in the action preparation-self-assessment stage, and 40 patients in the action preparation-behavior stage. The fear of disease progression significantly influenced the patients' return-to-work readiness. Psychological consistency and disease acceptance played significant chain mediation roles between the fear of disease progression and return-to-work readiness, with a total mediation effect value of -0.072, accounting for 41.38% of the total effect.Conclusions:Return-to-work readiness in PCI patients needs improvement. Psychological consistency and disease acceptance play a chain mediation role between the fear of disease progression and return-to-work readiness. Healthcare providers should develop personalized care strategies based on patients' specific conditions, improve their psychological state, and enhance their readiness to return to work.

Objective:To explore the impact of the fear of disease progression on the return-to-work readiness of patients after percutaneous coronary intervention (PCI) , and the chain mediating effect of psychological consistency and disease acceptance between the two factors.Methods:A convenience sampling method was used to select 198 PCI patients at the Affiliated Hospital of Jining Medical University from February 2023 to May 2024. The General Information Survey, Return-To-Work Readiness Scale, Fear of Progression Questionnaire-Short Form, Acceptance Illness Scale, and Sense of Coherence-13 were used to investigate the patients.Results:A total of 198 questionnaires were distributed, with 178 valid questionnaires returned, yielding an effective response rate of 89.90%. Among the patients' return-to-work readiness, 42 patients were in the pre-intention stage, 60 patients in the intention stage, 36 patients in the action preparation-self-assessment stage, and 40 patients in the action preparation-behavior stage. The fear of disease progression significantly influenced the patients' return-to-work readiness. Psychological consistency and disease acceptance played significant chain mediation roles between the fear of disease progression and return-to-work readiness, with a total mediation effect value of -0.072, accounting for 41.38% of the total effect.Conclusions:Return-to-work readiness in PCI patients needs improvement. Psychological consistency and disease acceptance play a chain mediation role between the fear of disease progression and return-to-work readiness. Healthcare providers should develop personalized care strategies based on patients' specific conditions, improve their psychological state, and enhance their readiness to return to work.

Objective To explore the environmental factors affecting the growth of Lonicera japonica Thunb.;To predict the suitable areas of L.japonica in China under current and future climate conditions.Methods Totally 2 553 pieces of L.japonica distribution information and 19 environmental factors were collected.MaxEnt model was used to screen the main environmental factors affecting the growth of L.japonica.Combined with ArcGIS 10.8 software,this article simulated the suitable area of L.japonica in our country under current and future climate conditions.Results The main environmental factors affecting the distribution of L.japonica were the lowest temperature in the coldest month,the average daily temperature range,the precipitation in the wettest quarter and the annual temperature range.Under the current climate conditions,the suitable area of L.japonica in China was about 318.29×104 km2,which was mainly distributed in central and southern China.Under the future climate scenario,the total suitable area would decrease.Conclusion This study predicted distribution of L.japonica resources and ecological suitability areas can provide theoretical basis for its wild cultivation,rational cultivation,and resource protection.

Objective:To investigate the role of iron death in paraquat (PQ) -induced alveolar epithelial mesangialization (EMT) .Methods:In August 2023, the appropriate PQ staining concentration as well as the intervention concentration of lipoinhibitor-1 (Lip-1) were screened by CCK8 method. The RLE-6TN cells were divided into three groups, which were control group, PQ group and iron death inhibition group, 200 μmol/L PQ solution was given to the PQ group, and PQ 200 μmol/L and 0.1 μmol/L Lip-1 solution was given to the iron death inhibition group, the control group was added the same amount of cell medium. morphological changes and migratory viability of the cells in each group were observed at 12 h, 24 h and 48 h after the poisoning, and the contents of ferrous ions (Fe 2+), reactive oxygen radicals (ROS), glutathione (GSH), superoxide dismutase (SOD), and malondialdehyde (MDA) were detected in each group; meanwhile, qRT-PCR and western-blot were used to determine the molecular expression of E-cadherin, α-smooth muscle actin (α-SMA), and Collagen I in the cells in each group. The difference between group was compared by ANOVA, and the further pairwise comparison was conducted by Bonferroni method. Results:Cell viability was detected using CCK8, and the results showed that the cell survival rate of RLE-6TN cells treated with 200 μmol/L PQ+0.1 μmol/L Lip-1 solution was 56.6%. The migration activity of RLE-6TN cells in the iron death inhibition group was weaker than that in the PQ group after 24 and 48 hours of exposure, and the degree of EMT changes in the cells was reduced compared to the PQ group. After 12, 24, and 48 hours of exposure, the Fe 2+ concentration, ROS fluorescence intensity, and MDA content in the iron death inhibition group decreased compared to the corresponding time points in the PQ group ( P<0.05/3), while compared with PQ group, the GSH concentration and SOD concentration increased compared to the corresponding time points in the PQ group ( P<0.05/3). The results showed that compared with the control group, the expression levels of E-cadherin mRNA and protein in PQ group and iron death inhibition group were both decreased ( P<0.05/3), while compared with PQ group, the expression levels of E-cadherin mRNA and protein in iron death inhibition group were increased ( P<0.05/3) ; Compared with the control group, the expression levels of α-SMA, Collagen I mRNA and protein in PQ group and iron death inhibition group cells increased ( P<0.05/3), while compared with PQ group, the expression levels of α-SMA, Collagen I mRNA and protein in iron death inhibition group cells decreased ( P<0.05/3) . Conclusion:Ferroptosis is involved in the EMT process of alveolar epithelial cells induced by PQ. Inhibiting ferroptosis can reduce cellular oxidative damage and alleviate the degree of cellular EMT.

Objective:To investigate the value of diffusion kurtosis imaging (DKI) combined with quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting axillary lymph node metastasis in breast cancer.Methods:A total of 150 cases of breast cancer confirmed by pathology in the Affiliated Hospital of Jining Medical University were retrospectively analyzed. 68 cases had axillary lymph node (ALN) metastasis and 82 cases had no ALN metastasis. All breast lesions were examined by DKI and DCE-MRI before operation. We analyzed clinical case data, routine MRI features, DKI, and DCE-MRI parameters between two groups, including diffusion kurtosis (MK), mean diffusion rate (MD), volume transfer constant (K trans), extravascular volume fraction (Ve), and rate constant (Kep); The receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficacy of quantitative parameters for ALN metastasis of breast cancer. Results:The proportion of lesions with blurred edges in the metastatic group was higher than that in the non ALN metastatic group ( P=0.032); The proportion of uneven and circular enhancement within the ALN metastasis group was relatively high ( P=0.018). The MD value of the ALN transfer group was lower than that of the group without ALN transfer ( P=0.021); The MK value, K trans value, and Kep value were higher than those in the group without ALN metastasis (all P<0.01). The K trans value of DCE-MRI model was the most effective in diagnosing ALN metastasis of breast cancer, and the area under the ROC curve (AUC) was 0.831; The AUC of DCE-MRI model was 0.833, which was higher than that of DKI model (AUC=0.733), and the difference was statistically significant ( Z=2.208; P=0.027). The AUC of DCE-MRI and DKI models were higher than that of conventional MRI models ( Z=3.184, P=0.002; Z=1.917, P=0.046). The sensitivity and accuracy of combined DKI and DCE-MRI models in the diagnosis of ALN metastasis in breast cancer were higher than those of single model. Conclusions:DKI and DCE-MRI models can be used to predict axillary lymph node metastasis in breast cancer. Among them, the K trans value of DCE-MRI model is the most effective in diagnosing axillary lymph node metastasis in breast cancer.