Irritable bowel syndrome （IBS） is a functional bowel disorder characterized primarily by abdominal pain and altered defecation habits. In recent years， traditional Chinese medicine （TCM） has made progress in multiple aspects of IBS research and treatment， including syndrome distribution， development of TCM formulas， clinical efficacy evaluation， external therapies， and psychosocial regulation. However， it still faces challenges such as over-reliance on symptomatic manifestations rather than biomarkers for diagnostic criteria， and the lack of high-quality evidence-based data supporting the efficacy of TCM formulas in treating IBS. This paper proposed that TCM diagnosis and treatment of IBS should adhere to the strategy of integrating the holistic concept with syndrome differentiation and treatment， combining TCM external therapies such as acupuncture， moxibustion and acupoint application）， and emphasizing individualized diagnosis and treatment for psychosomatic abnormalities. Future research should integrate multi-omics technologies， artificial intelligence and other methods to deepen the understanding of the pathogenesis of IBS and the mechanisms of TCM formulas， so as to promote the standardization and internationalization of TCM in the diagnosis and treatment of IBS.

Objective To compare the short-term outcomes and long-term prognosis between laparoscopic and open surgery for large gastric gastrointestinal stromal tumors(GISTs).Methods A retrospective cohort study was conducted on 110 patients with large gastric GISTs who underwent surgical treatment in the medical department of general surgery,Chinese People's Liberation Army General Hospital,from January 2015 to December 2020.Among them,47 were males(42.73%)and 63 were females(57.28%),with a median age of 55 years.Patients were divided into the open surgery group(n=57)and the laparoscopic surgery group(n=53)based on the surgical approach.Pro-pensity score matching(PSM)was performed using a 1∶1 nearest-neighbor matching method,resulting in 34 patients in each group after matching.Short-term outcomes and long-term prognosis were compared between the two groups.Results After matching,the laparoscop-ic surgery group showed significantly better outcomes than the open surgery group in terms of drainage tube removal time,operative time,intraoperative blood loss,and postoperative hospital stay(all P<0.05).No significant differences were observed in nasogastric tube removal time,time to first flatus,or time to resuming oral intake(all P>0.05).The open surgery group had lower hospitalization cost compared to the laparoscopic surgery group(P<0.05).Regarding long-term survival,the 1-,3-,and 5-year disease-free survival(DFS)rates in the lapa-roscopic surgery group were 100%,88.1%,and 88.1%,respectively,while those in the open surgery group were 100%,94.1%,and 94.1%.The 1-,3-,and 5-year overall survival(OS)rates in the laparoscopic surgery group were 100%,100%,and 88.8%,respectively,compared to 100%,97.1%,and 94.7%in the open surgery group.No statistically significant differences were found in DFS and OS between the two groups(both P>0.05).Conclusions Laparoscopic resection of large gastric GISTs is safe and feasible,without increasing the risk of tumor recurrence,and achieves comparable efficacy to open surgery.However,its application should still be approached with caution.

The diagnosis,treatment,and prognosis evaluation of cervical spondylosis are challenging in clinic.Machine learning(ML)models can improve the accuracy and efficiency of cervical spondylosis diagnosis by processing complex clinical data,assist in selecting more precise treatment plans,and evaluate prognosis.Through the domestic and foreign literature review on the application of ML models in cervical spondylosis in recent years,the study classifies and summarizes the relevant models applied in the diagnosis,treatment,and prognosis evaluation of cervical spondylosis,introduces classic algorithms such as random forest,as well as new algorithms such as convolutional neural networks,deep neural networks and long short-term memory networks,aiming to provide reference ML solutions for various stages of cervical spondylosis diagnosis and treatment.

The deep integration of artificial intelligence (AI) and multimodal data in the medical field presents vast application prospects, with its implementation in robotic surgery still in the early stages. Surgical robots assist surgeons in decision-making and operation through quantifiable data and visualized imaging, where data serves as the key driver of innovation for AI in robotic surgery. AI is pushing the boundaries of robotic autonomy, enhancing the surgical experience and improving both the quality and efficiency of procedures. This paper focuses on artificial intelligence surgery, especially the key applications of AI in robotic gastrointestinal surgery, systematically reviewing recent advances in surgical scene enhancement, surgical phase recognition, instrument tracking, intraoperative force feedback, and autonomous manipulation. Furthermore, it discusses major challenges including the scarcity of high-quality data, limited interpretability of algorithms, and the need for real-time performance. Although fully autonomous robotic surgery remains a long-term goal, the pathway toward progressive implementation is becoming increasingly clear.

Objective To compare the short-term outcomes and long-term prognosis between laparoscopic and open surgery for large gastric gastrointestinal stromal tumors(GISTs).Methods A retrospective cohort study was conducted on 110 patients with large gastric GISTs who underwent surgical treatment in the medical department of general surgery,Chinese People's Liberation Army General Hospital,from January 2015 to December 2020.Among them,47 were males(42.73%)and 63 were females(57.28%),with a median age of 55 years.Patients were divided into the open surgery group(n=57)and the laparoscopic surgery group(n=53)based on the surgical approach.Pro-pensity score matching(PSM)was performed using a 1∶1 nearest-neighbor matching method,resulting in 34 patients in each group after matching.Short-term outcomes and long-term prognosis were compared between the two groups.Results After matching,the laparoscop-ic surgery group showed significantly better outcomes than the open surgery group in terms of drainage tube removal time,operative time,intraoperative blood loss,and postoperative hospital stay(all P<0.05).No significant differences were observed in nasogastric tube removal time,time to first flatus,or time to resuming oral intake(all P>0.05).The open surgery group had lower hospitalization cost compared to the laparoscopic surgery group(P<0.05).Regarding long-term survival,the 1-,3-,and 5-year disease-free survival(DFS)rates in the lapa-roscopic surgery group were 100%,88.1%,and 88.1%,respectively,while those in the open surgery group were 100%,94.1%,and 94.1%.The 1-,3-,and 5-year overall survival(OS)rates in the laparoscopic surgery group were 100%,100%,and 88.8%,respectively,compared to 100%,97.1%,and 94.7%in the open surgery group.No statistically significant differences were found in DFS and OS between the two groups(both P>0.05).Conclusions Laparoscopic resection of large gastric GISTs is safe and feasible,without increasing the risk of tumor recurrence,and achieves comparable efficacy to open surgery.However,its application should still be approached with caution.

The deep integration of artificial intelligence (AI) and multimodal data in the medical field presents vast application prospects, with its implementation in robotic surgery still in the early stages. Surgical robots assist surgeons in decision-making and operation through quantifiable data and visualized imaging, where data serves as the key driver of innovation for AI in robotic surgery. AI is pushing the boundaries of robotic autonomy, enhancing the surgical experience and improving both the quality and efficiency of procedures. This paper focuses on artificial intelligence surgery, especially the key applications of AI in robotic gastrointestinal surgery, systematically reviewing recent advances in surgical scene enhancement, surgical phase recognition, instrument tracking, intraoperative force feedback, and autonomous manipulation. Furthermore, it discusses major challenges including the scarcity of high-quality data, limited interpretability of algorithms, and the need for real-time performance. Although fully autonomous robotic surgery remains a long-term goal, the pathway toward progressive implementation is becoming increasingly clear.

The diagnosis,treatment,and prognosis evaluation of cervical spondylosis are challenging in clinic.Machine learning(ML)models can improve the accuracy and efficiency of cervical spondylosis diagnosis by processing complex clinical data,assist in selecting more precise treatment plans,and evaluate prognosis.Through the domestic and foreign literature review on the application of ML models in cervical spondylosis in recent years,the study classifies and summarizes the relevant models applied in the diagnosis,treatment,and prognosis evaluation of cervical spondylosis,introduces classic algorithms such as random forest,as well as new algorithms such as convolutional neural networks,deep neural networks and long short-term memory networks,aiming to provide reference ML solutions for various stages of cervical spondylosis diagnosis and treatment.

Objective To investigate the effect of Gegen Qinlian Decoction on liver energy metabolism and free fatty acid(FFA)in rats with insulin resistance(IR).Methods IR rat model was established by feeding 60%fat high-fat diet for 13 consecutive weeks.SD rats were randomly divided into normal group,model group,Rosiglitazone(5 mg·kg-1)group and Gegen Qinlian Decoction low-,medium-and high-dose groups(1.65,4.96,14.86 g·kg-1),with 6 rats in each group.Intragastric administration was given once a day,continuous administration intervention lasted for 16 weeks.Determination of IR-related indicators:serum fasting insulin(FINS),fasting blood glucose(FPG),calculate the IR index;HPLC method was established for the determination of adenosine triphosphate(ATP),adenosine diphosphate(ADP)and adenosine monophosphate(AMP)in rat liver tissue;ELISA was used to determine the content of FFA in rat liver tissue.The contents of serum total cholesterol(TC)and triglyceride(TG)were detected by automatic biochemical analyzer.The pathological changes of liver tissue were observed by HE staining.Results(1)After the model replication,compared with the normal group,the FINS,FPG levels and IR index of the model group were significantly increased(P＜0.05).(2)Compared with the normal group,the levels of FINS,FPG and IR index in the model group were significantly increased(P＜0.01),the contents of ATP,ADP and AMP in liver tissue were significantly decreased(P＜0.01),the content of FFA was significantly increased(P＜0.01),and the levels of TC and TG in serum were significantly increased(P＜0.05).Liver cells arranged in disorder,fatty degeneration,and there are a large number of lipid droplets.Compared with the model group,the FINS level and IR index of rats in each administration group were significantly decreased(P＜0.05,P＜0.01),and the FPG level of rats in the Rosiglitazone group was significantly decreased(P＜0.05).The contents of ADP and AMP in liver tissue of rats in each administration group were significantly increased(P＜0.05,P＜0.01),and the contents of ATP in liver tissue of rats in low-,medium-and high dose-groups of Gegen Qinlian Decoction were significantly increased(P＜0.05,P＜0.01).The content of FFA in liver tissue of rats in Rosiglitazone group and Gegen Qinlian Decoction low-and high-dose groups was significantly decreased(P＜0.01).The serum TC level of rats in the low-and high-dose groups of Gegen Qinlian Decoction was significantly decreased(P＜0.05,P＜0.01),and the serum TG level of rats in the Rosiglitazone group and the low-dose group of Gegen Qinlian Decoction was significantly decreased(P＜0.05,P＜0.01).The steatosis of hepatocytes in rats of each administration group was alleviated to varying degrees,and the lipid droplets were reduced,and the pathological damage was improved.Conclusion Gegen Qinlian Decoction may improve liver lipid metabolism disorder and restore lipid and energy balance by regulating energy metabolism and reducing FFA level,thus improving IR.

The stenosis and embolization of internal fistula vessels directly affect the clinical treatment effect of maintenance hemodialysis patients, and the study of the mechanism of internal fistula stenosis has become a research hotspot in recent years. Previous studies mainly focused on the hemodynamics and pathophysiology of blood vessel wall, and there were few studies on molecular biology and its related signaling pathways. This paper reviews the hemodynamics of the vascular pathway of internal arteriovenous fistula (AVF), the pathophysiological mechanism, molecular biology, and changes in various signaling pathways of AVF dysfunction at home and abroad, in order to provide references for the study of AVF dysfunction.

Objective:To compare the clinical efficacy of radiofrequency ablation and liver resection in the treatment of gastrointestinal stromal tumor liver metastasis.Methods:A retrospective cohort study was conducted, collecting medical records of 46 patients with gastrointestinal stromal tumor liver metastasis treated at the First Medical Center of the Chinese People′s Liberation Army General Hospital from January 2018 to December 2022. Patients were divided into radiofrequency ablation group ( n=20) and liver resection group ( n=26) based on the treatment method. Short-term efficacy and long-term prognosis between the two groups were compared. Short-term efficacy was evaluated based on intraoperative bleeding volume, operative time, hospital stay, hospitalization costs, while long-term efficacy was assessed by progression-free survival and overall survival. Normally distributed measurement data were expressed as mean±standard deviation ( ± s) and compared using the t-test. Non-normally distributed measurement data were expressed as M( Q1, Q3) and compared using the Wilcoxon rank-sum test. Count data were expressed as frequency (%) and compared using the chi-square test. The long-term prognosis of patients in both groups was compared using the Kaplan-Meier curve. Results:The intraoperative blood loss, operative time, postoperative hospital stay, and hospitalization costs for the radiofrequency ablation group were 5 (3, 5) mL, 60 (55, 60) min, 4.0 (3.0, 4.0) d, and 4.6 (3.8, 5.3) ten thousand yuan, respectively; for the liver resection group, these were 100 (50, 275) mL, 180 (155, 215) min, 7.0 (4.5, 9.5) d, and 8.6 (6.1, 10.8) ten thousand yuan, respectively, with statistically significant differences between the two groups( P<0.05). The median progression-free survival for the liver resection group was 37 months, with 1 and 3-year progression-free survival rates of 96% and 50%, respectively. For the radiofrequency ablation group, the median progression-free survival was 20.5 months, with 1 and 3-year progression-free survival rates of 65% and 20%, respectively, showing statistically significant differences between the two groups ( P<0.05). The 1, 3, and 5-year overall survival rates for the liver resection group were 100%, 100%, and 78.3%, respectively, while for the radiofrequency ablation group, they were 100%, 100%, and 82.2%, respectively, with no statistically significant difference ( P>0.05). Conclusions:Both liver resection and radiofrequency ablation can be considered as treatment options for gastrointestinal stromal tumor liver metastasis, with comparable long-term efficacy. Liver resection has a clear advantage in terms of local tumor control compared to radiofrequency ablation, which has the advantages of fewer complications, faster recovery, and shorter hospital stay.