With the increasing use of low-dose computed tomography (LDCT) in lung cancer screening and health examinations, the clinical goal of pulmonary nodule management has shifted from detecting nodules to identifying lesions that warrant intervention while avoiding overdiagnosis and overtreatment of low-risk disease. Artificial intelligence (AI) has consequently evolved from computer-aided detection and segmentation to benign-malignant differentiation, longitudinal growth assessment, invasiveness prediction, risk stratification, and closed-loop workflow support. This review outlines the developmental trajectory of AI for pulmonary nodules and summarizes advances in detection and segmentation, radiomics, end-to-end deep learning, longitudinal modeling, and multimodal integration across incidentally detected, screening-detected, subsolid, and multiple-nodule scenarios. Particular attention is given to real-world failure modes and their causes, including data and label bias, scanner- and protocol-related distribution shift, spectrum bias and overfitting in subsolid nodules, missed atypical lesions, automation bias, and management of discordance between AI outputs and guideline-based recommendations. Current evidence suggests that AI may improve detection efficiency and risk reclassification in selected settings; however, evidence regarding cross-population calibration, patient-relevant outcomes, cost-effectiveness, and post-deployment monitoring remains limited. AI should therefore be positioned as a human-in-the-loop adjunct within guideline-governed pathways, supported by scenario-specific validation, transparent reporting, interpretability and accountability, continuous performance auditing, and multidisciplinary decision-making.

Arsenic is a semi-metal,and lipid-soluble arsenic compounds are one of the widespread forms in the environment and food chain,but there is a lack of standards for lipid-soluble arsenic compounds,which is one of the bottlenecks in the current analytical detection and toxicological studies of organic arsenic.In this study,four saturated arsenic-containing hydrocarbons,AsHC 318,AsHC 332,AsHC 346,and AsHC 374(The number is relative molecular mass),were successfully synthesized in three steps by using dimethylarsinic acid,potassium iodide,sodium hydroxide,and four brominated alkanes(1-Bromotetradecane,1-bromopentadecane,1-bromohexadecane,and 1-bromooctadecane)as raw materials.The structures of these four saturated arsenic-containing hydrocarbons were characterized by proton nuclear magnetic resonance(1H NMR)spectroscopy,13C nuclear magnetic resonance(13C NMR)spectroscopy,and high-resolution mass spectrometry(HR-MS).The yields of the method were 8%-10%,and the synthesized compounds could be used in subsequent toxicity evaluation experiments to assess the toxic effects and mechanisms of action of arsenic-containing hydrocarbons.This study provided an effective method for synthesis of arsenic-containing hydrocarbons,enriching the synthesis methods of arsenic-containing hydrocarbons,and provided raw materials for the subsequent toxicological studies of arsenic-containing hydrocarbons.

Objective:To evaluate the therapeutic efficacy of an upper limb rehabilitation robot on the recovery of elbow function recovery following arthroscopic elbow joint release.Methods:Seventy-two patients who underwent arthroscopic elbow joint release at Shanghai Sixth People’s Hospital from December 2022 to December 2023 were recruited. All patients were randomly assigned to either the conventional group (n=36; 16 males, 20 females; age 34.39±9.04 years, range 24-56; fractures: 4 intercondylar humerus, 18 olecranon, 8 radial head, 6 other) which received conventional rehabilitation postoperatively, or the robot-assisted group (n=36; 18 males, 18 females; age 33.78±9.98 years, range 20-59; fractures distribution identical to the conventional group) receiving conventional rehabilitation combined with robot-assisted upper limb rehabilitation therapy. The active range of motion (ROM) of elbow joint, Mayo elbow performance score (MEPS), visual analogue scale (VAS) of elbow joint were recorded preoperatively and at 4 weeks and 3 months postoperatively. The surface electromyography were analyzed at 3 months postoperatively.Results:All patients completed the 3-month rehabilitation program. At 4 weeks postoperatively, the conventional group exhibited a mean active ROM of 106.78°±9.91°, MEPS of 67.78±7.68, VAS of 2.11±0.74; the robot-assisted group showed active ROM of 113.72°±7.06°, MEPS of 73.33±9.28, VAS of 21.89±0.46. By 3 months postoperatively, the conventional group achieved a mean active ROM of 118.11°±6.75°, MEPS of 85.00±8.66, VAS of 0.67±0.67; robot-assisted achieved a mean active ROM of 127.61°±6.61°, MEPS of 91.11±6.57, VAS of 0.39±0.49. Both groups exhibited significant improvements in active ROM and MEPS, and significant reductions in VAS scores at 4 weeks and 3 months postoperatively compared with preoperatively values ( P<0.05). The robot-assisted group demonstrated significantly higher active ROM and MEPS at both 4 weeks and 3 months postoperatively, and a significantly lower VAS score at 3 months postoperatively, compared with the conventional group ( P<0.05). Surface electromyography at 3 months revealed significantly higher biceps brachii root mean square and significantly lower co-contraction index in the robot-assisted group compared to the conventional group ( P<0.05). No adverse symptoms were reported in the treated elbows of either group during the operation and follow-up period. Conclusion:The integration of upper limb rehabilitation robot-assisted therapy and conventional rehabilitation program significantly enhances the recovery of elbow range of motion and functional outcomes at 3 months following arthroscopic elbow joint release.

Objective:To analyze the key factors,hierarchical structure and internal action paths that affect the ability improvement of medical insurance management personnel in public hospitals,and to provide theoretical basis and practical reference for strengthening the construction of medical insurance management talent teams in hospitals.Methods:Through the mutual verification of literature analysis,policy interpretation and interview results,an index system of influencing factors for the ability improvement of medical insurance management personnel in public hospitals was constructed.A hybrid method combining DEMATEL-ISM-MICMAC was adopted to define the relationships,divide the levels and conduct driving force-dependence analysis of the influencing factors.Results:There are a total of 12 key factors influencing the ability improvement of medical insurance management personnel in public hospitals.Through the ISM model,these influencing factors can be classified into four levels:surface factors,intermediate factors,deep factors,and essential factors.With the help of MICMAC analysis,it can be classified into the spontaneous factor group of"low driving force-low dependence",the independent factor group of"high driving force-low dependence"and the dependent factor group of"low driving force-high dependence".Conclusion:Policy interpretation and knowledge reserve are the fundamental driving factors for ability improvement;Professional ethics and responsibilities are the deep-seated supporting factors of the ability system.The regulatory capacity of medical insurance funds is a key outcome and performance manifestation.

Objective To explore the effect of endoscopic ultrasonography(EUS)with different probes on the measurement of gastrointestinal submucosal tumor(SMT)diameter.Methods The clinical data of 356 patients(with a total of 372 lesions)initially diagnosed as SMT by EUS at the Second Affiliated Hospital of Army Medical University from January 2023 to June 2024 were analyzed retrospectively.The basic characteristics of the origin layers and pathological distribution of SMT were analyzed.The differences between the EUS-measured diameters and the actual diameters of SMT at different diameter ranges of lesions were compared.Taking the postoperative pathological diagnosis results as the gold standard,the effects of different clinicopathological features and probe types on the relative error in EUS-measured diameters of SMT were analyzed.Results Among the 372 gastrointestinal SMT lesions,lesions were more frequent in female patients,gastric lesions was the most common,and leiomyoma was the predominant pathological type.The accuracy of EUS in diagnosing SMT was 94.4%.A statistically significant difference was observed between the EUS-measured diameters and the actual diameters of SMT(P<0.05).There were significantly differences in various ranges of lesions between the EUS-measured diameters and the actual diameters(P<0.05).The gender,age,lesion location,and pathological type had no significant effect on the relative error of EUS-measured diameters(P>0.05);while probe types had a significant effect on the relative error of EUS-measured diameters(P<0.05).For lesions with an actual diameter of 2.0 to 3.9 cm,the relative error of SMT diameters measured by small-probe EUS was significantly greater than that by large-probe EUS(P<0.05).Conclusion Large-probe EUS exhibits a smaller relative error in measuring the diameter of SMT with a diameter of≥2.0 cm.Therefore,large-probe EUS is recommended for the examination of SMT with an estimated diameter exceeding 2.0 cm.

High mobility group box protein 1(HMGB1)is one of the most widely expressed protein member in the HMGs family,which is well known for its involvement in the body inflammatory response.Previous researches have found that it plays a significant role in cell migration,immune identification and neuroprotection.Spinal cord injury is a disease that causes severe damage to the nervous system,and neural circuits are disrupted after a spinal cord injury,which leads to many conditions including ischemia and hypoxia,inflammatory responses,demyelinating lesions,and glial scar formation that are detrimental to nerve regeneration and repair,making it one of the most difficult diseases to treat in the modern spinal surgery field.HMGB1 is upregulated after spinal cord injury,thereby regulating neuroinflam-matory responses,and participating in the neuronal apoptosis,promoting neuronal regeneration,and inducing neural stem cell differentiation and migration,which plays an important role in the process of neural function recovery.This paper summarizes the structure and function of HMGB1,as well as its role in spinal cord injury,in order to provide direction for founding therapeutic target for neurological function recovery after spinal cord injury.

Objective:To observe the intervention effect of personalized nutrition program combined with rehabilitation training in stroke rehabilitation patients.Methods:86 stroke rehabilitation patients who were admitted to our hospital from January 2023 to June 2024 were prospectively selected,they were divided into control group and study group according to the random number table method,with 43 cases in each group,the control group received rehabilitation training,while the study group received personalized nutrition program combine with rehabilitation training.Simple Fugl Meyer motor function(FMA)score,immune function indicators[immunoglobulin(Ig)A,IgG,complement C3,IgM,complement C4],National Institutes of Health Stroke Scale(NIHSS),nutritional status indicators[albumin(ALB),prealbumin(PA),total protein(TP),hemoglobin(HB)],Stroke Specific Quality of Life Scale(SS-QOL),Barthel Index(BI)score were compared between the two groups.Results:NIHSS score in the study group at 8 weeks after intervention was lower than that in the control group,and SS-QOL score,BI score,FMA score,IgM,IgA,IgG,complement C3,complement C4,ALB,HB,TP and PA were higher than those in the control group(P＜0.05).Conclusion:Personalized nutrition program combined with rehabilitation training in stroke rehabilitation patients,can reduce neurological damage,improve limb motor function,enhance nutritional status,immunity,and quality of life.

Objective:To analyze the key factors,hierarchical structure and internal action paths that affect the ability improvement of medical insurance management personnel in public hospitals,and to provide theoretical basis and practical reference for strengthening the construction of medical insurance management talent teams in hospitals.Methods:Through the mutual verification of literature analysis,policy interpretation and interview results,an index system of influencing factors for the ability improvement of medical insurance management personnel in public hospitals was constructed.A hybrid method combining DEMATEL-ISM-MICMAC was adopted to define the relationships,divide the levels and conduct driving force-dependence analysis of the influencing factors.Results:There are a total of 12 key factors influencing the ability improvement of medical insurance management personnel in public hospitals.Through the ISM model,these influencing factors can be classified into four levels:surface factors,intermediate factors,deep factors,and essential factors.With the help of MICMAC analysis,it can be classified into the spontaneous factor group of"low driving force-low dependence",the independent factor group of"high driving force-low dependence"and the dependent factor group of"low driving force-high dependence".Conclusion:Policy interpretation and knowledge reserve are the fundamental driving factors for ability improvement;Professional ethics and responsibilities are the deep-seated supporting factors of the ability system.The regulatory capacity of medical insurance funds is a key outcome and performance manifestation.

Objective:To evaluate the therapeutic efficacy of an upper limb rehabilitation robot on the recovery of elbow function recovery following arthroscopic elbow joint release.Methods:Seventy-two patients who underwent arthroscopic elbow joint release at Shanghai Sixth People’s Hospital from December 2022 to December 2023 were recruited. All patients were randomly assigned to either the conventional group (n=36; 16 males, 20 females; age 34.39±9.04 years, range 24-56; fractures: 4 intercondylar humerus, 18 olecranon, 8 radial head, 6 other) which received conventional rehabilitation postoperatively, or the robot-assisted group (n=36; 18 males, 18 females; age 33.78±9.98 years, range 20-59; fractures distribution identical to the conventional group) receiving conventional rehabilitation combined with robot-assisted upper limb rehabilitation therapy. The active range of motion (ROM) of elbow joint, Mayo elbow performance score (MEPS), visual analogue scale (VAS) of elbow joint were recorded preoperatively and at 4 weeks and 3 months postoperatively. The surface electromyography were analyzed at 3 months postoperatively.Results:All patients completed the 3-month rehabilitation program. At 4 weeks postoperatively, the conventional group exhibited a mean active ROM of 106.78°±9.91°, MEPS of 67.78±7.68, VAS of 2.11±0.74; the robot-assisted group showed active ROM of 113.72°±7.06°, MEPS of 73.33±9.28, VAS of 21.89±0.46. By 3 months postoperatively, the conventional group achieved a mean active ROM of 118.11°±6.75°, MEPS of 85.00±8.66, VAS of 0.67±0.67; robot-assisted achieved a mean active ROM of 127.61°±6.61°, MEPS of 91.11±6.57, VAS of 0.39±0.49. Both groups exhibited significant improvements in active ROM and MEPS, and significant reductions in VAS scores at 4 weeks and 3 months postoperatively compared with preoperatively values ( P<0.05). The robot-assisted group demonstrated significantly higher active ROM and MEPS at both 4 weeks and 3 months postoperatively, and a significantly lower VAS score at 3 months postoperatively, compared with the conventional group ( P<0.05). Surface electromyography at 3 months revealed significantly higher biceps brachii root mean square and significantly lower co-contraction index in the robot-assisted group compared to the conventional group ( P<0.05). No adverse symptoms were reported in the treated elbows of either group during the operation and follow-up period. Conclusion:The integration of upper limb rehabilitation robot-assisted therapy and conventional rehabilitation program significantly enhances the recovery of elbow range of motion and functional outcomes at 3 months following arthroscopic elbow joint release.

Objective To explore the effect of endoscopic ultrasonography(EUS)with different probes on the measurement of gastrointestinal submucosal tumor(SMT)diameter.Methods The clinical data of 356 patients(with a total of 372 lesions)initially diagnosed as SMT by EUS at the Second Affiliated Hospital of Army Medical University from January 2023 to June 2024 were analyzed retrospectively.The basic characteristics of the origin layers and pathological distribution of SMT were analyzed.The differences between the EUS-measured diameters and the actual diameters of SMT at different diameter ranges of lesions were compared.Taking the postoperative pathological diagnosis results as the gold standard,the effects of different clinicopathological features and probe types on the relative error in EUS-measured diameters of SMT were analyzed.Results Among the 372 gastrointestinal SMT lesions,lesions were more frequent in female patients,gastric lesions was the most common,and leiomyoma was the predominant pathological type.The accuracy of EUS in diagnosing SMT was 94.4%.A statistically significant difference was observed between the EUS-measured diameters and the actual diameters of SMT(P<0.05).There were significantly differences in various ranges of lesions between the EUS-measured diameters and the actual diameters(P<0.05).The gender,age,lesion location,and pathological type had no significant effect on the relative error of EUS-measured diameters(P>0.05);while probe types had a significant effect on the relative error of EUS-measured diameters(P<0.05).For lesions with an actual diameter of 2.0 to 3.9 cm,the relative error of SMT diameters measured by small-probe EUS was significantly greater than that by large-probe EUS(P<0.05).Conclusion Large-probe EUS exhibits a smaller relative error in measuring the diameter of SMT with a diameter of≥2.0 cm.Therefore,large-probe EUS is recommended for the examination of SMT with an estimated diameter exceeding 2.0 cm.