The objective of this study is to map the global scientific competitive landscape in the field of artificial intelligence (AI) medical devices using scientific data. A bibliometric analysis was conducted using the Web of Science Core Collection to examine global research trends in AI-based medical devices. As of the end of 2023, a total of 55 147 relevant publications were identified worldwide, with 76.6% published between 2018 and 2024. Research in this field has primarily focused on AI-assisted medical image and physiological signal analysis. At the national level, China (17 991 publications) and the United States (14 032 publications) lead in output. China has shown a rapid increase in publication volume, with its 2023 output exceeding twice that of the U.S.; however, the U.S. maintains a higher average citation per paper (China: 16.29; U.S.: 35.99). At the institutional level, seven Chinese institutions and three U.S. institutions rank among the global top ten in terms of publication volume. At the researcher level, prominent contributors include Acharya U Rajendra, Rueckert Daniel and Tian Jie, who have extensively explored AI-assisted medical imaging. Some researchers have specialized in specific imaging applications, such as Yang Xiaofeng (AI-assisted precision radiotherapy for tumors) and Shen Dinggang (brain imaging analysis). Others, including Gao Xiaorong and Ming Dong, focus on AI-assisted physiological signal analysis. The results confirm the rapid global development of AI in the medical device field, with "AI + imaging" emerging as the most mature direction. China and the U.S. maintain absolute leadership in this area-China slightly leads in publication volume, while the U.S., having started earlier, demonstrates higher research quality. Both countries host a large number of active research teams in this domain.
Artificial Intelligence ; Bibliometrics ; Humans ; China ; Equipment and Supplies ; United States ; Biomedical Research

OBJECTIVE To innovatively apply the pre-intelligent precision dosing and verification system （hereinafter referred to as “the system”）， and to provide a reference for the high-level “intelligent” transformation of inpatient pharmacy. METHODS The limitations of the triple-serial dispensing mode， which comprised the automatic medicine packaging machine （ATC）， intelligent tablet dispensing table （ITDT） and medication detection machine （MDM）， were analyzed. The application of the system and the adoption of the barcode scanning verification method optimized the pre-dosing management， whole-tablet drug dispensing process and ATC temporary dosing management. The comparative analysis was conducted to assess dosing time， labor cost and packaging error of the eight-month period， before and after the system application. RESULTS The triple-serial dispensing mode had a weak ability to avoid error risks in the manual dosing stage， and also had errors in the verification stage. Through the innovative application system， the pre-dosing management had been upgraded， the whole-tablet drug dispensing process had been optimized， and the ATC temporary dosing management had been improved. The average time required for each drug for pre-dosing， whole-tablet drug dispensing and ATC temporary dosing was significantly shortened after the application of the system， compared with before the application of the system （P＜0.001）. The number of pharmacists was reduced from two to one. The error rate of ATC decreased significantly from 0.220‰ to 0.029‰ （P＜0.001）. Specifically， the rate of pharmacist-related errors （pre-dosing error， ITDT dosing error， and ATC temporary dosing error） decreased from 0.116‰ to 0.001‰ （P＜0.001）， and machine-related errors decreased from 0.096‰ to 0.023‰ （P＜0.001）. CONCLUSIONS This innovative integration mode greatly improves the working efficiency and quality of inpatient pharmacy. It enhances refined management of drug expiration and inventory， saves time and labor costs， improves the accuracy of drug dispensing， and ensures patient medication safety.

Chronic pain, frequently comorbid with neuropsychiatric disorders, significantly impairs patients' quality of life and functional capacity. Accumulating evidence implicates the chemokine CCL2 and its receptor CCR2 as key players in chronic pain pathogenesis. This review examines the regulatory mechanisms of the CCL2/CCR2 axis in chronic pain processing at three hierarchical levels: (1) Peripheral Sensitization: CCL2/CCR2 modulates TRPV1, Nav1.8, and HCN2 channels to increase neuronal excitability and CGRP signaling and calcium-dependent exocytosis in peripheral nociceptors to transmit pain. (2) Spinal Cord Central Sensitization: CCL2/CCR2 contributes to NMDAR-dependent plasticity, glial activation, GABAergic disinhibition, and opioid receptor desensitization. (3) Supraspinal Central Networks: CCL2/CCR2 signaling axis mediates the comorbidity mechanisms of pain with anxiety and cognitive impairment within brain regions, including the ACC, CeA, NAc, and hippocampus, and it also increases pain sensitization through the descending facilitation system. Current CCL2/CCR2-targeted therapeutic strategies and their development status are discussed, highlighting novel avenues for chronic pain management.
Humans ; Chronic Pain/physiopathology* ; Animals ; Neuroglia/metabolism* ; Chemokine CCL2/metabolism* ; Receptors, CCR2/metabolism*

ObjectiveTo comprehensively assess the clinical value of Duliang soft capsules in the treatment of migraine with wind-cold blood stasis syndrome， and to provide guidance for national medical decision-making， clinical drug promotion， and pharmaceutical services. MethodThe evaluation of Duliang soft capsules' clinical value was conducted in accordance with the Guidelines for the Management of Comprehensive Clinical Evaluation of Drugs （Trial Version， 2021） using a combination of qualitative and quantitative methods. Utilizing the CSC v2.0 software， this study conducted a comprehensive clinical evaluation of Duliang soft capsules across the "6+1" dimensions， including safety pre- and post-market launch， effectiveness in treating migraine， economy （cost-effectiveness）， and innovation， suitability， accessibility， and traditional Chinese medicine （TCM） characteristics in both its technology and clinical applications. ResultSafety： Duliang soft capsules were found to have good safety based on evidence from known adverse reactions （spontaneous reporting system （SRS） data， literature data， etc.）， pre-marketing toxicological research， and post-marketing drug monitoring. Effectiveness： A meta-analysis indicated that the combination of Duliang soft capsules and western medicine was more effective than Western medicine alone in the treatment of migraine. The product's effectiveness was rated as "Best" based on the quality and value of the evidence. Economy： Duliang soft capsules are moderately priced and categorized as a Type B medical insurance product. Economic research indicated that the combination of Western medicine and Duliang soft capsules was more cost-effective than Western medicine alone. The product's economy was rated as "Better". Innovation： Duliang soft capsules， with Angelicae Dahuricae Radix and Chuanxiong Rhizoma as the main components， hold one invention patent and have been awarded the China Patent Excellence Award. The pharmaceutical company has introduced innovative extraction （CO₂ supercritical extraction technology） and formulation （soft capsule） processes. The product's innovation was rated as "Better". Suitability： A questionnaire survey on Duliang soft capsules showed that it was well-suited for both patients and healthcare professionals. The product received a comprehensive assessment of suitability through the "Evaluation of Chinese Patent Medicine Information Services". The product's suitability was rated as "Best". Accessibility： Duliang soft capsules are moderately priced， making them accessible and affordable. The product's accessibility was rated as "Good" based on evidence from these three aspects. TCM characteristics： The formulation of Duliang soft capsules can be traced back to WANG Qiu's Selected Formulas from the Praiseworthy Studio （Shi Zhai Bai Yi Xuan Fang） from the Song Dynasty， and it was documented in ZHANG Jiebin's The Complete Works of Zhang Jing-yue （Jing Yue Quan Shu） as "Duliangwan". The product has been extensively studied with over 2000 clinical cases since its market launch， and its TCM characteristics were rated as outstanding with sufficient evidence. ConclusionThe comprehensive clinical value evaluation of Duliang soft capsules demonstrated its high effectiveness， suitability， and accessibility， and outstanding TCM characteristics. The product's safety， economy， and innovation received good ratings. In summary， Duliang soft capsules exhibited significant clinical value and outstanding TCM characteristics， the evidence was sufficient， and the result was confirmed， providing crucial references for clinical decision-making and pharmaceutical management.

Objective:To investigate the predictive value of differential distribution of peripheral lymphocyte subsets before and after the first 131I treatment on the therapeutic response to 131I treatment in patients with papillary thyroid cancer (PTC). Methods:A retrospective study was conducted on 46 PTC patients (16 males, 30 females, age 20-77 years) who underwent total thyroidectomy and received 131I treatment between January 2021 and August 2021 in First Hospital of Shanxi Medical University. Peripheral blood lymphocyte subsets (T, B, CD4 + T, CD8 + T, natural killer (NK), helper T (Th)1, Th2, Th17, and regulatory T (Treg) cells) were measured 1-2 d before and 30 d after 131I treatment. Based on serological and imaging evidence, therapeutic response at 6-12 months post- 131I therapy was categorized as either excellent response (ER) or non-excellent response (NER). Differences of preablative stimulated thyroglobulin (psTg) and clinical baseline characteristics between two groups were assessed by using independent-sample t test, paired t test, or Mann-Whitney U test. Predictive value of lymphocyte subsets before and after 131I treatment for therapeutic response was assessed through logistic regression analysis, ROC curve analysis, and decision curve analysis (DCA). Results:In ER group ( n=33) and NER group ( n=13), most lymphocyte subsets showed different degrees of reduction 30 d after 131I treatment compared to before 131I treatment, such as T, B, CD4 + T and Th1 cells in ER group, as well as T, B, CD4 + T, Th1, Th2, Th17, and Treg cells in NER group ( t values: 2.41-9.57, all P<0.05). Before 131I treatment, NER group had significantly higher levels of psTg, Th2, Th17, and Treg cells compared to the ER group ( t values: from -3.32 to -2.48, U=29.00, all P<0.05). After 131I treatment, most of lymphocyte subsets in NER group (T, B, CD4 + T, CD8 + T, Th1 and Treg cells) showed higher trend than those in ER group but without statistical significances ( t values: from -1.12 to -0.06, all P>0.05). Th2 cells before 131I treatment (odds ratio ( OR)=25.00, 95% CI: 1.36-459.10, P=0.030) was identified as a risk factor for NER. ROC curve analysis indicated that AUCs of psTg and Th2 cells for predicting therapeutic response were 0.932 and 0.790, respectively, which was 0.958 for the combined psTg and Th2 cells. DCA showed that within the threshold probability range of 10%-60%, the curves for psTg, Th2 cells, and the combined psTg and Th2 cells were all higher than the extreme curve, suggesting good effect. Conclusions:Most lymphocyte subsets decrease to varying degrees, and NER group shows a significant decrease 30 d after 131I treatment. Th2 cells may be a risk factor for poor response to 131I treatment, providing a certain value in predicting the therapeutic response to 131I treatment.

Objective:To compare and evaluate recurrence patterns after robotic-assisted gastrectomy (RAG) versus laparoscopic-assisted gastrectomy (LAG).Methods:This was a retrospective cohort study of 2915 consecutive patients with gastric adenocarcinoma confirmed by postoperative histology as T1-4aN0-3M0, who had undergone minimally invasive radical gastrectomy at four large gastric cancer treatment centers (Fujian Medical University Union Hospital: 1426 patients; the First Affiliated Hospital, Nanchang University: 1108; Tianjin Medical University Cancer Institute and Hospital: 196; and First Affiliated Hospital of Xi'an Jiaotong University: 185 cases) between 1 January 2015 and 30 June 2019. 930 patients had undergone RAG (RAG group) and 1985 had undergone LAG (LAG group). We assessed the following characteristics: age, sex, body mass index, American Society of Anesthesiologists score, comorbidities, tumor size, extent of surgery, extent of lymph node dissection, pT, pN, year of surgery, and adjuvant chemotherapy, after propensity score matching (1:1). There were no significant differences in baseline clinical characteristics between the two groups formed by propensity score matching (837 in each group) (all P>0.05). The 3-year recurrence-free survival (RFS), recurrence pattern, and conditional RFS were compared. Results:We detected no significant differences in the overall recurrence rate at 3 years (128/837 [15.3%] vs. 141/837 [16.8%], P=0.387) or time to recurrence (15.7±8.1 months vs. 16.4±8.4 months, P=0.449) between the RAG and LAG groups. Peritoneal recurrence was the most common type of recurrence in both groups (55 [6.6%] vs. 69 [8.2%], P=0.524). The difference in 3-year RFS between the RAG and LAG groups was not statistically significant (83.2% vs. 82.5%, P=0.781). We found that age > 60 years, total gastrectomy, and worse pT stage and pN stage were independent risk factors for recurrence in the study patients (all P<0.05), whereas the surgical procedure (RAG or LAG) was not an independent risk factor for RFS ( P=0.242). The 3-year conditional RFS at various time points was comparable between the two groups (1 year postoperatively: 84.6% vs. 84.7%, P=0.793; 3 years postoperatively: 91.5% vs. 94.9%, P=0.647). Conclusions:In this multicenter study of patients with locally resectable gastric cancer, we demonstrated that RAG performed by surgeons at large gastric cancer centers is not inferior to LAG in 3-year recurrence rate or recurrence patterns.

Objective:To compare and evaluate recurrence patterns after robotic-assisted gastrectomy (RAG) versus laparoscopic-assisted gastrectomy (LAG).Methods:This was a retrospective cohort study of 2915 consecutive patients with gastric adenocarcinoma confirmed by postoperative histology as T1-4aN0-3M0, who had undergone minimally invasive radical gastrectomy at four large gastric cancer treatment centers (Fujian Medical University Union Hospital: 1426 patients; the First Affiliated Hospital, Nanchang University: 1108; Tianjin Medical University Cancer Institute and Hospital: 196; and First Affiliated Hospital of Xi'an Jiaotong University: 185 cases) between 1 January 2015 and 30 June 2019. 930 patients had undergone RAG (RAG group) and 1985 had undergone LAG (LAG group). We assessed the following characteristics: age, sex, body mass index, American Society of Anesthesiologists score, comorbidities, tumor size, extent of surgery, extent of lymph node dissection, pT, pN, year of surgery, and adjuvant chemotherapy, after propensity score matching (1:1). There were no significant differences in baseline clinical characteristics between the two groups formed by propensity score matching (837 in each group) (all P>0.05). The 3-year recurrence-free survival (RFS), recurrence pattern, and conditional RFS were compared. Results:We detected no significant differences in the overall recurrence rate at 3 years (128/837 [15.3%] vs. 141/837 [16.8%], P=0.387) or time to recurrence (15.7±8.1 months vs. 16.4±8.4 months, P=0.449) between the RAG and LAG groups. Peritoneal recurrence was the most common type of recurrence in both groups (55 [6.6%] vs. 69 [8.2%], P=0.524). The difference in 3-year RFS between the RAG and LAG groups was not statistically significant (83.2% vs. 82.5%, P=0.781). We found that age > 60 years, total gastrectomy, and worse pT stage and pN stage were independent risk factors for recurrence in the study patients (all P<0.05), whereas the surgical procedure (RAG or LAG) was not an independent risk factor for RFS ( P=0.242). The 3-year conditional RFS at various time points was comparable between the two groups (1 year postoperatively: 84.6% vs. 84.7%, P=0.793; 3 years postoperatively: 91.5% vs. 94.9%, P=0.647). Conclusions:In this multicenter study of patients with locally resectable gastric cancer, we demonstrated that RAG performed by surgeons at large gastric cancer centers is not inferior to LAG in 3-year recurrence rate or recurrence patterns.

Extracorporeal membrane oxygenation (ECMO), as a critical life support technology, has played a significant role in treating patients with refractory respiratory and circulatory failure. In recent years, with the advancements in medical technology, the scope of application of ECMO has been expanding, especially in the fields of acute respiratory distress syndrome, cardiogenic shock and other important roles. However, its high costs, complex operation, and associated risks of complications remain challenges in clinical practice. At present, an increasing number of studies have focused on developing and validating ECMO prognostic models. Developing precise prognostic prediction models is crucial for optimizing treatment decisions and improving patient survival rates. This article categorizes existing prognostic models for adult ECMO patients based on methodological classification, patient population, and theoretical framework. It highlights the limitations of current models in terms of sample size, multi-center validation, static data analysis, and model applicability. Moreover, it proposes future directions for model development, such as multi-center prospective studies, integration of machine learning and deep learning technologies, and increased focus on long-term outcomes, offering insights for researchers to improve model construction and explore new research directions.
Extracorporeal Membrane Oxygenation/methods* ; Humans ; Prognosis ; Respiratory Distress Syndrome/therapy* ; Machine Learning ; Shock, Cardiogenic/therapy*

As a chronic liver inflammation disease caused by the lack of immune tolerance, autoimmune hepatitis is regulated by various signaling pathways, such as the NF-κB/NLRP3 pathway, the SIRT1/Nrf2/HO-1 pathway, the Hippo-YAP/TAZ pathway, the JAK/STAT pathway, the PI3K/Akt pathway, and the TRAF6/JNK pathway. These pathways can play a role against autoimmune hepatitis by participating in the processes including the proliferation and apoptosis of cytokines, immune response, and oxidative stress. In view of the problems of suboptimal response, obvious adverse reactions, and high recurrence rate in the clinical application of hormones and immune preparations for the treatment of autoimmune hepatitis, this article summarizes the research articles on autoimmune hepatitis-related signaling pathways and the mechanism of effective constituents (glycosides, terpenoids, flavonoids, quinones, and phenols) in traditional Chinese medicine intervening against the disease process of autoimmune hepatitis through the above signaling pathways, in order to provide a theoretical basis for scientific and effective utilization of effective constituents in traditional Chinese medicine to develop anti-autoimmune hepatitis drugs.

Tumor microenvironment contributes to poor prognosis of pancreatic adenocarcinoma (PAAD) patients. Proper regulation could improve survival. Melatonin is an endogenous hormone that delivers multiple bioactivities. Here we showed that pancreatic melatonin level is associated with patients' survival. In PAAD mice models, melatonin supplementation suppressed tumor growth, while blockade of melatonin pathway exacerbated tumor progression. This anti-tumor effect was independent of cytotoxicity but associated with tumor-associated neutrophils (TANs), and TANs depletion reversed effects of melatonin. Melatonin induced TANs infiltration and activation, therefore induced cell apoptosis of PAAD cells. Cytokine arrays revealed that melatonin had minimal impact on neutrophils but induced secretion of Cxcl2 from tumor cells. Knockdown of Cxcl2 in tumor cells abolished neutrophil migration and activation. Melatonin-induced neutrophils presented an N1-like anti-tumor phenotype, with increased neutrophil extracellular traps (NETs) causing tumor cell apoptosis through cell-to-cell contact. Proteomics analysis revealed that this reactive oxygen species (ROS)-mediated inhibition was fueled by fatty acid oxidation (FAO) in neutrophils, while FAO inhibitor abolished the anti-tumor effect. Analysis of PAAD patient specimens revealed that CXCL2 expression was associated with neutrophil infiltration. CXCL2, or TANs, combined with NET marker, can better predict patients' prognosis. Collectively, we discovered an anti-tumor mechanism of melatonin through recruiting N1-neutrophils and beneficial NET formation.