Artificial intelligence (AI) technology enhances the function of acupuncture clinical decision support system (CDSS) by promoting the accuracy of its diagnosis, assisting the formulation of personalized therapeutic regimen, and realizing the scientific and precise evaluation of its therapeutic effect. This paper deeply analyzes the unique advantages of AI-based acupuncture CDSS, including the intelligence and high efficiency. Besides, it points out the challenges of data security, the lack of model interpretation and the complexity of interdisciplinary cooperation in the development of acupuncture CDSS. With the continuous development and improvement of AI technology, acupuncture CDSS is expected to play a more important role in the fields of personalized medicine, telemedicine and disease prevention, and to further advance the efficiency and effect of acupuncture treatment, drive the modernization of acupuncture, and enhance its position and influence in the global healthcare system.
Humans ; Acupuncture Therapy ; Artificial Intelligence ; Decision Support Systems, Clinical

Objective:To investigate the clinical characteristics of residual dizziness（RD） after repositioning in patients with benign paroxysmal positional vertigo（BPPV）, identify its potential risk factors, and develop a predictive risk model. Methods:A total of 137 patients diagnosed with BPPV at the First Affiliated Hospital of Xi'an Jiaotong University between January 2023 and June 2023 were enrolled. Based on the presence or absence of subjective discomfort within 3 months after successful repositioning, patients were divided into the non-RD group（NRD, n=93） and the RD group（n=44）. Differences in demographic characteristics, comorbidities, and disease-related features were compared between groups. Multivariate logistic regression analysis was used to identify independent risk factors for RD, and a nomogram was constructed based on these factors. The predictive performance of the model was assessed using the area under the curve（AUC）. Results:The RD group showed significantly higher values in body mass index, prevalence of diabetes and motion sickness history, dizziness duration before repositioning, history of repositioning at external hospitals, number of treatments, and recurrence（all P<0.001）. Multivariate logistic regression revealed that diabetes（adjusted OR=8.73, P=0.039）, motion sickness history（adjusted OR=23.08, P<0.001）, dizziness duration ≥30 days before repositioning（adjusted OR=15.16, P<0.001）, and recurrence（adjusted OR=15.72, P=0.001） were independent risk factors for RD. The nomogram model based on these variables demonstrated good predictive ability, with an AUC of 0.804（95%CI 0.684-0.924）. Conclusion:Diabetes, motion sickness history, dizziness duration ≥30 days, and recurrence are independent risk factors for RD after repositioning in patients with BPPV. The nomogram model based on these variables shows good predictive performance, with recurrence having the highest predictive value. This model can aid in early identification of high-risk patients and guide individualized intervention strategies.
Humans ; Nomograms ; Benign Paroxysmal Positional Vertigo/therapy* ; Dizziness/etiology* ; Risk Factors ; Risk Assessment ; Multivariate Analysis ; Male ; Female ; Logistic Models ; Middle Aged ; Patient Positioning ; Adult

[Purpose]To investigate the potential causal relationships between serum levels of trace elements and head and neck cancers.[Methods]Single nucleotide polymorphism(SNP)of oral cancer,oropharyngeal cancer,laryngeal cancer and thyroid cancer,associated with calcium,copper,iron,magnesium,zinc,were obtained from genome-wide association studies(GWAS).A two-sample bidirectional Mendelian randomization(MR)analysis was performed using the inverse variance weighting(IVW)method by calculating odds ratio(OR)and 95％confidence interval(CI).Pleiotropy was assessed using MR-PRESSO and MR-Egger regression,and sensitivity analysis was conducted via the"leave-one-out"method.[Results]IVW analysis revealed a causal association between serum magnesium levels and the incidence of oral cancer(OR=0.976,95％CI:0.956～0.997,P=0.025),also between thyroid cancer and serum calcium levels(OR=1.008,95％CI:1.001～1.015,P=0.023).No significant causal associations were observed between other trace ele-ments and head and neck cancers(all P＞0.05).[Conclusion]This MR study suggests that serum magnesium levels serve as a protective factor against oral cancer,while thyroid cancer leads to el-evated serum calcium levels.

The accuracy of orthodontic bracket bonding directly affects the treatment effect,and intelligent orthodontics is gradually advancing clinical practice toward precision.Mixed reality(MR),a new digital holographic imaging simulation technology,enables interactive scenarios between 3D data and the real world,allowing precise identification and localization of dental roots and jaw ana-tomical structures.This study constructs an oral visualization model via multimodal image fusion,establishes a virtual-real registra-tion algorithm combining target detection and point cloud registration for high-dynamic scenarios,and develops an MR-based intelli-gent auxiliary and teaching system for orthodontic bracket bonding.The system achieves clinical training and intraoperative naviga-tion for bracket positioning and bonding,accurately identifies dental root and jaw information,and is of significant importance for improving the precision,intelligence,and digitization of orthodontic clinical practice.

Autoimmune oophoritis is a rare cause of primary ovarian insufficiency(POI), and some patients may also have concurrent adrenal insufficiency. This condition significantly impairs reproductive function and is often difficult to distinguish from common causes of POI, leading to missed or incorrect diagnoses. This paper reports a case of autoimmune oophoritis treated in our department and provides an updated summary of recent advances in the understanding of this condition, with the aim of raising clinical awareness and improving diagnostic accuracy among healthcare professionals.

Autoimmune oophoritis is a rare cause of primary ovarian insufficiency(POI), and some patients may also have concurrent adrenal insufficiency. This condition significantly impairs reproductive function and is often difficult to distinguish from common causes of POI, leading to missed or incorrect diagnoses. This paper reports a case of autoimmune oophoritis treated in our department and provides an updated summary of recent advances in the understanding of this condition, with the aim of raising clinical awareness and improving diagnostic accuracy among healthcare professionals.

The accuracy of orthodontic bracket bonding directly affects the treatment effect,and intelligent orthodontics is gradually advancing clinical practice toward precision.Mixed reality(MR),a new digital holographic imaging simulation technology,enables interactive scenarios between 3D data and the real world,allowing precise identification and localization of dental roots and jaw ana-tomical structures.This study constructs an oral visualization model via multimodal image fusion,establishes a virtual-real registra-tion algorithm combining target detection and point cloud registration for high-dynamic scenarios,and develops an MR-based intelli-gent auxiliary and teaching system for orthodontic bracket bonding.The system achieves clinical training and intraoperative naviga-tion for bracket positioning and bonding,accurately identifies dental root and jaw information,and is of significant importance for improving the precision,intelligence,and digitization of orthodontic clinical practice.

[Purpose]To investigate the potential causal relationships between serum levels of trace elements and head and neck cancers.[Methods]Single nucleotide polymorphism(SNP)of oral cancer,oropharyngeal cancer,laryngeal cancer and thyroid cancer,associated with calcium,copper,iron,magnesium,zinc,were obtained from genome-wide association studies(GWAS).A two-sample bidirectional Mendelian randomization(MR)analysis was performed using the inverse variance weighting(IVW)method by calculating odds ratio(OR)and 95％confidence interval(CI).Pleiotropy was assessed using MR-PRESSO and MR-Egger regression,and sensitivity analysis was conducted via the"leave-one-out"method.[Results]IVW analysis revealed a causal association between serum magnesium levels and the incidence of oral cancer(OR=0.976,95％CI:0.956～0.997,P=0.025),also between thyroid cancer and serum calcium levels(OR=1.008,95％CI:1.001～1.015,P=0.023).No significant causal associations were observed between other trace ele-ments and head and neck cancers(all P＞0.05).[Conclusion]This MR study suggests that serum magnesium levels serve as a protective factor against oral cancer,while thyroid cancer leads to el-evated serum calcium levels.

Purpose/Significance To construct a specialized database for inflammatory demyelinating disease of the central nervous system(CNS),so as to contribute to clinical research and improve the diagnostic and treatment capabilities of primary healthcare institu-tions.Method/Process Using the internet to collect medical data,after processing and analysis,the CNS inflammatory demyelinating disease database is constructed.Using statistical analysis,natural language processing(NLP),artificial intelligence(AI)image recog-nition and data visualization and other technologies,the database information is integrated and analyzed.Result/Conclusion A standard-ized big database for CNS inflammatory demyelinating diseases is constructed,which enables visualization of clinical research data,pro-vides patient education and specialist training,and facilitates multi-center teleconsultations.The establishment of a specialized database for the CNS inflammatory demyelinating disease can promote the transformation of medical research achievements,provide references for future real-world clinical research,optimize the process of diagnosis and treatment,and improve the clinical capability of primary healthcare institutions.

Objective To explore the diagnostic value of serum Irisin,fibroblast growth factor 23(FGF23)and N-mid osteocalcin(N-MID)in the elderly patients with type 2 diabetes mellitus(T2DM)with osteoporo-sis(OP).Methods A total of 120 patients with T2DM combined with OP who were treated in the hospital from January 2021 to June 2023 were selected as the T2DM+OP group,and 120 patients with pure T2DM who were treated in the hospital during the same period were selected as the T2DM group.The levels of serum Irisin,FGF-23 and N-MID were compared between two groups.Multivariate Logistic regression was applied to analyze the influencing factors of OP in T2DM patients.Receiver operating characteristic(ROC)curve was applied to analyze the diagnostic value of serum Irisin,FGF-23 and N-MID levels for the occurrence of OP in T2DM patients.Results FGF-23,N-MID,fasting plasma glucose(FPG),fasting insulin(FINS),high-density lipoprotein cholesterol(HDL-C)in T2DM+OP group were obviously higher than those in T2DM group(P＜0.05),course of diabetes was longer than that in T2DM group(P＜0.05),and bone mineral density and ser-um Irisin level were lower than those in T2DM group(P＜0.05).Multivariate Logistic regression analysis showed that FGF-23,N-MID,diabetes course,FPG and FINS were independent risk factors for OP in T2DM patients(P＜0.05),while Irisin and bone mineral density were protective factors for OP in T2DM patients(P＜0.05).The area under the curve(AUC)of the combined diagnosis of serum Irisin,FGF-23 and N-MID in T2DM patients with OP was 0.886,with sensitivity of 90.00％and specificity of 74.17％.The AUC of the combination of the three for diagnosing OP in T2DM patients was larger than that of serum Irisin,FGF-23 and N-MID alone(Zcombination-Irisin=3.945,Zcombination-FGF23=5.119,Zcombination-N-MID=3.778,all P＜0.001).Conclusion The serum levels of FGF-23 and N-MID in patients with T2DM combined with OP increase,while the level of Iri-sin decreases.The combination of the three has high diagnostic value for the occurrence of OP in elderly T2DM patients.