Objective To explore the application effect of ultrasound-assisted localization in spinal anesthesia for elderly patients with hip fractures.Methods A total of 114 elderly patients undergoing hip fracture surgery with spinal anesthesia in our hospital from September 2022 to June 2024 were enrolled.The random number table method was applied to allocate participants into two groups:surface anatomical landmark localization group and ultrasound-assisted localization group,with 57 patients in each group.Both groups of patients underwent spinal anesthesia via the paramedian approach for puncture.The first-attempt puncture success rate,success rate of the initial puncture site,number of skin punctures,number of adjusted epidural needle direction,positioning time of the puncture point,puncture time(puncture success time,anesthesia time,and total time),adverse events during the puncture process(nerve hypersensitivity and accidental puncture of the dura mater),spinal anesthesia related complications(back pain,headache,and nerve injury),patient satisfaction and hospital stay were observed and compared between the two groups.The quality of early postoperative recovery was evaluated by using the 15-Item Quality of Recovery(QOR-15)scale at 24 h after surgery.Results The first-attempt puncture success rate in the ultrasound-assisted localization group was 71.9％(41/57),which was significantly higher than that in the surface anatomical landmark localization group[28.1％(16/57),x2=21.930,P=0.000].The success rate of the initial puncture site in the ultrasound-assisted localization group was 87.7％(50/57),which was significantly higher than that in the surface anatomical landmark localization group[54.4％(31/57),x2=15.396,P=0.000].The number of skin punctures and adjusted epidural needle direction in the ultrasound-assisted localization group were 1(1,1)and 0(0,1)times,while in the surface anatomical landmark localization group were 2(1,3)and 3(0,5)times,with statistically significant differences(all P=0.000).The puncture positioning time in the ultrasound-assisted localization group was 2.2(1.7,3.2)min,which was significantly longer than that in the surface anatomical landmark localization group[0.8(0.5,1.2)min,Z=-8.418,P=0.000].The puncture success time,anesthesia time,and total time of the ultrasound-assisted localization group were 1.9(1.7,2.3),4.9(4.3,5.3),and 7.1(6.3,8.7)min,while of the surface anatomical landmark localization group were 5.1(2.3,8.0),7.9(5.7,11.0),and 8.6(6.6,12.0)min,with statistically significant differences(all P＜0.05).There were no statistically significant differences in the incidence of nerve hypersensitivity during operation(3.5％vs.7.0％,x2=0.176,P=0.675),accidental puncture of the dura mater by epidural needles(0％vs.3.5％,P=0.496),postoperative headache(0％vs.3.5％,P=0.496),and back pain(1.8％vs.10.5％,x2=2.435,P=0.119)between the two groups.Both groups of patients showed no symptoms of nerve injury after surgery.There were no statistically significant differences in QOR-15 scores at 24 h postoperatively[119(115,124)points vs.116(112,121)points,Z=-1.858,P=0.063]and length of hospital stay[10.0(9.0,12.5)dvs.10.0(8.0,13.0)d,Z=-0.043,P=0.966]between the two groups.The satisfaction of patients in the ultrasound-assisted localization group was significantly higher than that in the surface anatomical landmark localization group(P=0.004).Conclusion Application of ultrasound-guided localization in spinal anesthesia for elderly patients with hip fractures significantly improves the first-attempt puncture and initial puncture site success rates,reduces skin puncture attempts and adjustments of the epidural needle direction,shortens time of anesthetic procedure,and enhances patient satisfaction,making it highly recommendable for clinical use.

Objective:To analyze the development trend of medical institution bed allocation in OECD countries and provide insights for optimizing bed resources allocation in China.Methods:Data on indicators of bed allocation and related factors from 1991 to 2022 were collected from the OECD online database.Bed allocation impact dimensions were identified based on health needs and demand theories.The random effect model and correlation analysis were used to explore influencing pathways of bed allocation.Results:The number of beds per 1 000 population and average life expectancy showed a significant positive correlation in countries below the average bed level,while an inverse trend was observed in countries above the average level.The number of long-term care beds per 1000 population showed positive correlation with average life expectancy.Multidimensional factors such as the disease spectrum and bed utilization efficiency were significant correlated with the bed allocation levels.The greater the gap in inpatient and outpatient reimbursement rations,the higher the demand for hospitalization among patients with chronic disease.Conclusions:An optimal number of beds is essential for achieving higher health outcomes.The bed classification planning system should be designed to adapt to demographic changes and strengthen the medical security support system.

Objective:To analyze the development trend of medical institution bed allocation in OECD countries and provide insights for optimizing bed resources allocation in China.Methods:Data on indicators of bed allocation and related factors from 1991 to 2022 were collected from the OECD online database.Bed allocation impact dimensions were identified based on health needs and demand theories.The random effect model and correlation analysis were used to explore influencing pathways of bed allocation.Results:The number of beds per 1 000 population and average life expectancy showed a significant positive correlation in countries below the average bed level,while an inverse trend was observed in countries above the average level.The number of long-term care beds per 1000 population showed positive correlation with average life expectancy.Multidimensional factors such as the disease spectrum and bed utilization efficiency were significant correlated with the bed allocation levels.The greater the gap in inpatient and outpatient reimbursement rations,the higher the demand for hospitalization among patients with chronic disease.Conclusions:An optimal number of beds is essential for achieving higher health outcomes.The bed classification planning system should be designed to adapt to demographic changes and strengthen the medical security support system.

Objective:This study aims to systematically review the current evaluation paradigms of conversational AI in healthcare and provide insights to facilitate the development of a comprehensive evaluation framework and methodological advancements in this field.Methods:A systematic review was conducted by searching the PubMed and Web of Science databases to analyze the existing evaluation paradigms of healthcare conversational AI,including evaluation subjects,assessment metrics,and evaluation methodologies.Results:A total of 60 studies were included in this review.The findings indicate that most evaluation subjects focus on general-purpose large language models.The assessment metrics cover five key dimensions:technical performance,information quality,clinical effectiveness,user experience,and ethics and safety.However,there were significant differences in the evaluation criteria used in existing studies.There were also issues such as a low degree of alignment between the evaluation questions and the application scenarios,as well as a lack of diversity in the roles of the evaluators.Conclusions:The current evaluation framework for healthcare conversational AI remains underdeveloped.Future improvements should focus on broadening model coverage,enhancing the comprehensiveness of evaluation indicators,standardizing evaluation methods,improving the operationalizability of test content,and expanding the scalability of evaluation languages.

Objective:This paper measures and analyzes the supply levels across districts,and explore the equity status and spatial-temporal evolution characteristics of medical resource supply during the 13th Five-Year Plan to the14th Five-Year Plan periods,aiming to provide references for future planning.Methods:Based on the public service population radiation model,the radiation population numbers of each district in Beijing in each year are calculated.Literature-based relevant indicators are selected.The improved CRITIC-entropy weight method is used to measure the supply level of each medical and health institutions.District-level supply levels per 100,000 radiated population were calculated using population density weighting.And the Gini coefficient and Moran's index are used to analyze its spatial and temporal distribution equilibrium.Results:During the 13th Five-Year Plan to the 14th Five-Year Plan periods,the overall medical resource supply level in Beijing showed an upward trend,with a slight decline in core areas and significant growth in urban development new towns.Regional disparities narrowed,and the global Moran's index values indicated positive spatial correlations in supply levels.Conclusion:The decentralization of non-capital functions in Beijing has achieved notable results,though improvements in outer suburbs remain gradual.Future efforts should strengthen cross-regional coordination,integrate innovations like internet-based medical consultations,and promote a more balanced healthcare resource supply structure aligned with public health needs.

Objective To explore the correlation between serum circularRNA-HOMER1(circHOMER1),microRNA(miR)-23a-3p levels with clinical stages and oxidative stress in patients with diabetic retinopathy(DR).Methods From January 2023 to July 2024,75 DR patients treated in Handan Central Hospital were included as the DR group.According to the clinical staging of DR,they were divided into non proliferative DR(NPDR group,n=43)and proliferative DR(PDR group,n=32).In addition,75 patients with simple type 2 diabetes who came to Handan Central Hospital were included as non DR group.The levels of serum circHOMER1,miR-23a-3p,malondialdehyde(MDA),superoxide dismutase(SOD),and reduced glutathione(GSH)were detect-ed.Clinical data of the subjects were collected.The TargetScan website was used to predict the targeting relationship between circHOMER1 and miR-23a-3p.Pearson method was used to analyze the correlation between serum circHOMER1,miR-23a-3p and MDA,SOD,GSH.Univariate and multivariate Logistic regression were used to analyze the influencing factors of progression of DR in type 2 diabetes patients.Receiver operating characteristic(ROC)carve was used to analyze the predictive value of serum circHOMER1 and miR-23a-3p in the progression of DR in patients with type 2 diabetes.Results There was a targeted relationship between circHOMER1 and miR-23a-3p.The serum MDA(28.66±4.52ng/ml)and circHOMER1(1.24±0.16)levels in the DR group were higher than those in the non DR group(16.95±3.27ng/ml,1.02±0.11),while SOD(45.39±7.84U/L),GSH(135.82±21.23μg/mL)and miR-23a-3p(0.88±0.07)levels were lower than those in the non DR group(81.65±11.47U/L,207.44±25.95μg/mL,1.01±0.09),and differences were statistically significant(t=9.813～22.602,all P<0.001).The serum MDA(33.28±4.96ng/ml)and circHOMER1(1.36±0.20)levels in the PDR group were higher than those in the NPDR group(25.23±3.58ng/ml,1.15±0.17),while SOD(34.39±7.15U/L),GSH(113.50±20.17μg/ml)and miR-23a-3p(0.79±0.07)levels were lower than those in the NPDR group(53.27±8.44U/L,152.43±23.99μg/ml,0.94±0.08),and the differences were statistically significant(t=4.906～10.376,all P<0.001).Spearman analysis showed that serum MDA and circHOMER1 were positively correlated with the severity of DR(r=0.533,0.473,all P<0.001),while SOD,GSH,miR-23a-3p were negatively correlated with the severity of DR(r=-0.552,-0.515,-0.529,all P<0.001).Pearson analysis showed that serum circHOMER1 was negatively correlated with miR-23a-3p,SOD,GSH,and positively correlated with MDA(r=-0.475,-0.460,-0.455,0.462,all P<0.001).Serum miR-23a-3p was positively correlated with SOD and GSH,and negatively correlated with MDA(r=0.428,0.437,-0.439,all P<0.001).Logistic regression analysis showed that high MDA,low SOD,low GSH,high circHOMER1,low miR-23a-3p,high FPG and high HbA1c were the risk factors of progression of DR in type 2 diabetes patients(OR=0.214～3.556,all P<0.05).The area under curve(AUC)of serum circHOMER1 and miR-23a-3p alone and jointhy predicting the progression of DR in type 2 diabetes patients were 0.751,0.797 and 0.903 respectively.The combined prediction was higher than that of serum circHOMER1 and miR-23a-3p alone(Z=3.179,2.335,P=0.002,0.020).Conclusion Serum MDA and circHOMER1 levels are higher in DR patients,while serum SOD,GSH and miR-23a-3p levels are lower.Abnormal expression of circHOMER1 and miR-23a-3p in serum is associated with progression of DR and oxidative stress.Combined detection of circHOMER1 and miR-23a-3p in serum can predict the progression of DR in patients with type 2 diabetes.

The development of artificial intelligence(AI)technology has provided new avenues for the public to access health information.While both domestic and international research and practical applications of health conversational AI have emerged,there remains a lack of consensus on the key issues surrounding their development.Based on a comprehensive review of domestic and international literature and multiple rounds of expert consultations,the study focuses on six issues:the definition,characteristics,application scenarios,evaluation elements,evaluation methods,as well as prospects and challenges of AI-driven health consultation systems,and develops the practice guideline for health conversational artificial intelligence.The findings aim to provide scientific reference for promoting the innovative application of AI technology in the healthcare field.

Objective To explore the correlation between serum circularRNA-HOMER1(circHOMER1),microRNA(miR)-23a-3p levels with clinical stages and oxidative stress in patients with diabetic retinopathy(DR).Methods From January 2023 to July 2024,75 DR patients treated in Handan Central Hospital were included as the DR group.According to the clinical staging of DR,they were divided into non proliferative DR(NPDR group,n=43)and proliferative DR(PDR group,n=32).In addition,75 patients with simple type 2 diabetes who came to Handan Central Hospital were included as non DR group.The levels of serum circHOMER1,miR-23a-3p,malondialdehyde(MDA),superoxide dismutase(SOD),and reduced glutathione(GSH)were detect-ed.Clinical data of the subjects were collected.The TargetScan website was used to predict the targeting relationship between circHOMER1 and miR-23a-3p.Pearson method was used to analyze the correlation between serum circHOMER1,miR-23a-3p and MDA,SOD,GSH.Univariate and multivariate Logistic regression were used to analyze the influencing factors of progression of DR in type 2 diabetes patients.Receiver operating characteristic(ROC)carve was used to analyze the predictive value of serum circHOMER1 and miR-23a-3p in the progression of DR in patients with type 2 diabetes.Results There was a targeted relationship between circHOMER1 and miR-23a-3p.The serum MDA(28.66±4.52ng/ml)and circHOMER1(1.24±0.16)levels in the DR group were higher than those in the non DR group(16.95±3.27ng/ml,1.02±0.11),while SOD(45.39±7.84U/L),GSH(135.82±21.23μg/mL)and miR-23a-3p(0.88±0.07)levels were lower than those in the non DR group(81.65±11.47U/L,207.44±25.95μg/mL,1.01±0.09),and differences were statistically significant(t=9.813～22.602,all P<0.001).The serum MDA(33.28±4.96ng/ml)and circHOMER1(1.36±0.20)levels in the PDR group were higher than those in the NPDR group(25.23±3.58ng/ml,1.15±0.17),while SOD(34.39±7.15U/L),GSH(113.50±20.17μg/ml)and miR-23a-3p(0.79±0.07)levels were lower than those in the NPDR group(53.27±8.44U/L,152.43±23.99μg/ml,0.94±0.08),and the differences were statistically significant(t=4.906～10.376,all P<0.001).Spearman analysis showed that serum MDA and circHOMER1 were positively correlated with the severity of DR(r=0.533,0.473,all P<0.001),while SOD,GSH,miR-23a-3p were negatively correlated with the severity of DR(r=-0.552,-0.515,-0.529,all P<0.001).Pearson analysis showed that serum circHOMER1 was negatively correlated with miR-23a-3p,SOD,GSH,and positively correlated with MDA(r=-0.475,-0.460,-0.455,0.462,all P<0.001).Serum miR-23a-3p was positively correlated with SOD and GSH,and negatively correlated with MDA(r=0.428,0.437,-0.439,all P<0.001).Logistic regression analysis showed that high MDA,low SOD,low GSH,high circHOMER1,low miR-23a-3p,high FPG and high HbA1c were the risk factors of progression of DR in type 2 diabetes patients(OR=0.214～3.556,all P<0.05).The area under curve(AUC)of serum circHOMER1 and miR-23a-3p alone and jointhy predicting the progression of DR in type 2 diabetes patients were 0.751,0.797 and 0.903 respectively.The combined prediction was higher than that of serum circHOMER1 and miR-23a-3p alone(Z=3.179,2.335,P=0.002,0.020).Conclusion Serum MDA and circHOMER1 levels are higher in DR patients,while serum SOD,GSH and miR-23a-3p levels are lower.Abnormal expression of circHOMER1 and miR-23a-3p in serum is associated with progression of DR and oxidative stress.Combined detection of circHOMER1 and miR-23a-3p in serum can predict the progression of DR in patients with type 2 diabetes.

Amid the global wave of digital economy, China's medical artificial intelligence applications are rapidly advancing through technological innovation and policy support, while facing multifaceted evaluation and regulatory challenges. The dynamic algorithm evolution undermines the consistency of assessment criteria, multimodal systems lack unified evaluation metrics, and conflicts persist between data sharing and privacy protection. To address these issues, the China National Health Development Research Center has established a value assessment framework for artificial intelligence medical technologies, formulated the country's first technical guideline for clinical evaluation, and validated their practicality through scenario-based pilot studies. Furthermore, this paper proposes introducing a "regulatory sandbox" model to test technical compliance in controlled environments, thereby balancing innovation incentives with risk governance.
Artificial Intelligence/legislation & jurisprudence* ; China ; Humans ; Algorithms

The development of artificial intelligence(AI)technology has provided new avenues for the public to access health information.While both domestic and international research and practical applications of health conversational AI have emerged,there remains a lack of consensus on the key issues surrounding their development.Based on a comprehensive review of domestic and international literature and multiple rounds of expert consultations,the study focuses on six issues:the definition,characteristics,application scenarios,evaluation elements,evaluation methods,as well as prospects and challenges of AI-driven health consultation systems,and develops the practice guideline for health conversational artificial intelligence.The findings aim to provide scientific reference for promoting the innovative application of AI technology in the healthcare field.