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

Recently, diffusion models have emerged as a promising paradigm for molecular design and optimization. However, most diffusion-based molecular generative models focus on modeling 2D graphs or 3D geometries, with limited research on molecular sequence diffusion models. The International Union of Pure and Applied Chemistry (IUPAC) names are more akin to chemical natural language than the Simplified Molecular Input Line Entry System (SMILES) for organic compounds. In this work, we apply an IUPAC-guided conditional diffusion model to facilitate molecular editing from chemical natural language to chemical language (SMILES) and explore whether the pre-trained generative performance of diffusion models can be transferred to chemical natural language. We propose DiffIUPAC, a controllable molecular editing diffusion model that converts IUPAC names to SMILES strings. Evaluation results demonstrate that our model outperforms existing methods and successfully captures the semantic rules of both chemical languages. Chemical space and scaffold analysis show that the model can generate similar compounds with diverse scaffolds within the specified constraints. Additionally, to illustrate the model's applicability in drug design, we conducted case studies in functional group editing, analogue design and linker design.

Tumor is one of the major diseases that endanger people’s health. At present, the treatments used for tumor include surgery, chemotherapy, radiotherapy and so on. Nonetheless, the traditional treatments have some disadvantages, such as insufficient treatment effect, liable to cause multidrug resistance, toxicity and side effect. Further research and exploration of tumor treatment schemes are still necessary. As the energy converter of cells, mitochondria are currently considered to be one of the most important targets for the design of new drugs for tumor, cardiovascular and neurological diseases. Nano-drug delivery carriers have the characteristics of being easily modified with active targeting groups, and it can achieve accurate targeted drug delivery to cells and organelles. This paper reviews the application of mitochondrial targeted nanoparticles in tumor diagnosis and treatment from the aspects of inhibiting tumor cell proliferation, promoting tumor cell apoptosis, inhibiting tumor recurrence and metastasis, and inducing cell autophagy.

Objective To explore the antimicrobial resistance of carbapenem-resistant Klebsiella pneumoniae(CRKP)isolated from blood and the related risk factors for infection in patients.Methods Clinical data of 383 KP-infected patients from whose blood Klebsiella pneumoniae(KP)were isolated during hospitalization period in a hos-pital from January 2018 to December 2021 were retrospectively analyzed.Patients were divided into CRKP group(n=114)and non-CRKP group(n=269)based on antimicrobial resistance.According to the prognosis,114 patients in the CRKP group were subdivided into the death group(n=30)and the survival group(n=84).General informa-tion,underlying diseases,antimicrobial use,and infection outcomes of two groups of patients were compared,and risk factors for infection and death after infection were analyzed.Results The resistance rates of KP to tigecycline and compound sulfamethoxazole showed upward trends,with statistically significant differences(both P=0.008).The CRKP group had higher resistance rates to amikacin,aztreonam,compound sulfamethoxazole,ciprofloxacin,cefepime,cefoperazone/sulbactam,piperacillin/tazobactam,tigecycline,ceftazidime,tobramycin,and levofloxacin,as well as higher in-hospital mortality than the non-CRKP group,with statistically significant differences(all P＜0.05).Acute pancreatitis prior to infection(OR=16.564,P＜0.001),hypoalbuminemia(OR=8.588,P＜0.001),stay in in-tensive care unit prior to infection(OR=2.733,P=0.017),blood transfusion(OR=3.968,P=0.001),broncho-scopy(OR=5.194,P=0.014),surgery within 30 days prior to infection(OR=2.603,P=0.010),and treatment with carbapenems(OR=2.663,P=0.011)were independent risk factors for the development of CRKP blood-stream infection(BSI).Cardiac insufficiency before infection(OR=11.094,P=0.001),combined with pulmonary infection(OR=20.801,P=0.010),septic shock(OR=9.783,P=0.002),disturbance of consciousness(OR=11.648,P=0.001),and receiving glucocorticoid treatment(OR=5.333,P=0.018)were independent risk factors for mortality in patients with CRKP BSI.Conclusion The resistance rate of KP from BSI to tigecycline and com-pound sulfamethoxazole presents upward trend.Underlying diseases,invasive procedures,and carbapenem treat-ment are closely related to CRKP BSI.Cardiac insufficiency,pulmonary infection,septic shock,disturbance of con-sciousness,and glucocorticoid treatment can lead to death of patients with CRKP BSI.

Divisions at the periphery and midzone of mitochondria are two fission signatures that determine the fate of mitochondria and cells.Pharmacological induction of excessively asymmetric mitofission-associated cell death(MFAD)by switching the scission position from the mitochondrial midzone to the periphery represents a promising strategy for anticancer therapy.By screening a series of pan-inhibitors,we identified pracinostat,a pan-histone deacetylase(HDAC)inhibitor,as a novel MFAD inducer,that exhibited a significant anticancer effect on colorectal cancer(CRC)in vivo and in vitro.Pracinostat increased the expression of cyclin-dependent kinase 5(CDK5)and induced its acetylation at residue lysine 33,accelerating the formation of complex CDK5/CDK5 regulatory subunit 1 and dynamin-related protein 1(Drp1)-mediated mitochondrial peripheral fission.CRC cells with high level of CDK5(CDK5-high)displayed midzone mitochondrial division that was associated with oncogenic phenotype,but treatment with pracinostat led to a lethal increase in the already-elevated level of CDK5 in the CRC cells.Mechanistically,pracinostat switched the scission position from the mitochondrial midzone to the periphery by improving the binding of Drp1 from mitochondrial fission factor(MFF)to mitochondrial fission 1 protein(FIS1).Thus,our results revealed the anticancer mechanism of HDACi pracinostat in CRC via activating CDK5-Drp1 signaling to cause selective MFAD of those CDK5-high tumor cells,which implicates a new paradigm to develop potential therapeutic strategies for CRC treatment.

Objective:To compare the efficacy of intraluminal microwave ablation with radiofrequency ablation in the treatment of varicose veins of the lower extremities.Methods:The clinical data of 520 patients (522 affected limbs) who underwent lower extremity varicose vein surgery at the Department of Vascular Surgery of the First Affiliated Hospital of Anhui Medical University from Jun 2021 to Sep 2022 were collected. Patients were divided into endovenous microwave ablation group (EMWA group, n = 201) and radiofrequency ablation group (RFA group, n = 321). Follow-up was performed at 1 week, 1 , 6 and 12 months after surgery. The primary efficacy endpoint was the occlusion rate of the treated segment vein, the primary safety endpoint was the incidence of surgery-related and/or device-related complications, and the secondary endpoints were the venous clinical severity score (VCSS) and chronic venous insufficiency quality of life questionnaire (CIVIQ) scores at follow-up. Results:The technique success rate and the occlusion rate of the affected segment vein was 100% in both groups evaluated one week after surgery; Six and 12 months after surgery, the occlusion rate in the RFA group was 98.9%, and that in the EMWA group was 99.3% and respectively 97.8%, 97.2% ,without statically significant difference.During the follow-up period, there were no cases of reoperation due to vein recanalization. no serious events such as deep vein thrombosis, pulmonary embolism or death occurred in either group. The incidence of adverse events (induration, ecchymosis, skin burn, incision infection, limb numbness, hematoma, thrombotic superficial phlebitis, endovenous heat induced thrombosis, etc.) in both groups was compared, and the difference was not statistically significant. VCSS and CIVIQ scores improved significantly in both groups at 1 ,6 and 12 months after treatment, and the difference was statistically significant(all P < 0.01). Conclusion:EMWA and RFA have the advantages of simple operation, good clinical efficacy and high degree of improvement in quality of life.

The male patient of middle-age was admitted to Zhujiang Hospital, Southern Medical University on September 5, 2020, due to wear and rupture of the left foot hallux for more than 10 days, gradually developed swelling and blackening of the left foot and accompanied by drowsiness for 1day. Results from etiological examination of his wound secretions suggested the mixed infection of Wohlfahrtiimonas chitiniclastica and Enterococcus faecalis. The disease progressed rapidly and the patient still died of septic shock after anti-infective treatment. The infection of W. chitiniclastica is rare and has a great relationship with poor hygiene and chronic open wounds. It is necessary to use matrix-assisted laser desorption/ionization-time of flight mass spectrometry or 16S ribosomal RNA gene sequencing for strain identification. Moreover, it is recommended to use cephalosporins or carbapenems as first-line drugs due to the poor prognosis of patients with bloodstream infections.

Objective:To study and verify the molecular mechanism of Duzhong Pills for osteoporosis (OP) by means of network pharmacology and molecular docking.Methods:The main chemical components of Duzhong Pills were mined by TCMSP database and the related targets were predicted. The potential targets of osteoporosis in GeneCards, DisGeNET and OMIM databases were searched and the common targets of both were obtained. The STRING platform was used for protein interaction analysis and PPI network diagram was made. The common targets were imported into the David database for enrichment analysis of GO and KEGG pathways, and molecular docking of the main components and core targets was performed. Eighteen Sprague-Dawley rats were divided into control group, model group and Duzhong Pills group according to random number table method, with 6 rats in each group. Ovariectomy was used to make osteoporosis model in model group and Duzhong Pills group. Duzhong Pills group was intragaxed with Duzhong Pills extract of 5 g/kg, and control group and model group were intragaxed with normal saline of the same volume, once a day for 8 weeks. Serum levels of TNF-α, IL-6 and IL-1β were detected by ELISA, and femur PI3K and Akt were detected by Western blot.Results:34 active components were obtained from Duzhong Pills, corresponding to 243 targets, and 1 059 targets for osteoporosis. The core targets included TNF-α, IL-6, AKT1, TP53, IL-1β and others regulated osteoporosis through PI3K-Akt and TNF pathway. The experimental results indicated that compared with model group, the levels of serum TNF-α, IL-6 and IL-1β in Duzhong Pills group decreased ( P<0.05), and the expressions of PI3K and Akt in femur decreased ( P<0.05). Conclusion:Through β-sitosterol, quercetin, kaempferol and other active components, Duzhong Pills can act on TNF, IL-6, AKT1, TP53, IL-1β and other targets, regulating PI3K-Akt signaling pathway, TNF signaling pathway and other signaling pathways to play a role in the treatment of osteoporosis.

Objective:To develop a risk prediction model for the recurrence of diabetic foot ulcer (DFU) in diabetic patients and primarily validate its predictive value.Methods:Meta-analysis combined with retrospective cohort study was conducted. The Chinese and English papers on risk factors related to DFU recurrence publicly published in China Biology Medicine disc, China National Knowledge Infrastructure, Wanfang Database, VIP Database, and PubMed, Embase, Cochrane Library, and Web of Science, and the search time was from the establishment date of each database until March 31 st, 2022. The papers were screened and evaluated, the data were extracted, a meta-analysis was performed using RevMan 5.4.1 statistical software to screen risk factors for DFU recurrence, and Egger's linear regression was used to assess the publication bias of the study results. Risk factors for DFU recurrence mentioned in ≥3 studies and with statistically significant differences in the meta-analysis were selected as the independent variables to develop a logistic regression model for risk prediction of DFU recurrence. The medical records of 101 patients with DFU who met the inclusion criteria and were admitted to Affiliated Hospital of Guizhou Medical University from January 2019 to June 2022 were collected. There were 69 males and 32 females, aged (63±14) years. The receiver operating characteristic (ROC) curve of the predictive performance of the above constructed predictive model for DFU recurrence was drawn, and the area under the ROC curve, maximum Youden index, and sensitivity and specificity at the point were calculated. Dataset including data of 8 risk factors for DFU recurrence and the DFU recurrence rates of 10 000 cases was simulated using RStudio software and a scatter plot was drawn to determine two probabilities for risk division of DFU recurrence. Using the β coefficients corresponding to 8 DFU recurrence risk factors ×10 and taking the integer as the score of coefficient weight of each risk factor, the total score was obtained by summing up, and the cutoff scores for risk level division were calculated based on the total score × two probabilities for risk division of DFU recurrence. Results:Finally, 20 papers were included, including 3 case-control studies and 17 cohort studies, with a total of 4 238 cases and DFU recurrence rate of 22.7% to 71.2%. Meta-analysis showed that glycosylated hemoglobin >7.5% and with plantar ulcer, diabetic peripheral neuropathy, diabetic peripheral vascular disease, smoking, osteomyelitis, history of amputation/toe amputation, and multidrug-resistant bacterial infection were risk factors for the recurrence of DFU (with odds ratios of 3.27, 3.66, 4.05, 3.94, 1.98, 7.17, 11.96, 3.61, 95% confidence intervals of 2.79-3.84, 2.06-6.50, 2.50-6.58, 2.65-5.84, 1.65-2.38, 2.29-22.47, 4.60-31.14, 3.13-4.17, respectively, P<0.05). There were no statistically significant differences in publication biases of diabetic peripheral neuropathy, diabetic peripheral vascular disease, glycosylated hemoglobin >7.5%, plantar ulcer, smoking, multidrug-resistant bacterial infection, or osteomyelitis ( P>0.05), but there was a statistically significant difference in the publication bias of amputation/toe amputation ( t=-30.39, P<0.05). The area under the ROC curve of the predictive model was 0.81 (with 95% confidence interval of 0.71-0.91) and the maximum Youden index was 0.59, at which the sensitivity was 72% and the specificity was 86%. Ultimately, 29.0% and 44.8% were identified respectively as the cutoff for dividing the probability of low risk and medium risk, and medium risk and high risk for DFU recurrence, while the corresponding total scores of low, medium, and high risks of DFU recurrence were <37, 37-57, and 58-118, respectively. Conclusions:Eight risk factors for DFU recurrence are screened through meta-analysis and the risk prediction model for DFU recurrence is developed, which has moderate predictive accuracy and can provide guidance for healthcare workers to take interventions for patient with DFU recurrence risk.

In this study, ultra performance liquid chromatography-quadrupole-time of flight mass spectrometer-MS^E (UPLC-Q-TOF-MS^E) combined with UNIFI analysis platform was used to rapidly analyze and identify the metabolites of hederagenins 3-O-α-L-rhamnosyl-(1→2)-[β-D-glucopyranosyl-(1→4)]-α-L-arabopyranoside (Pulsatilla saponin D) and oleanolic acid 3-O-α-L-rhamnosyl-(1→2)-[β-D-glucopyranosyl-(1→4)]-α-L-arabopyranoside (Pulsatilla saponin B₇) and hederagenins 3-O-α-L-rhamnosyl-(1→2)-α-L-arabopyranoside (Pulsatilla saponin BD) in plasma and colonic tissue of normal and ulcerative colitis (UC) rats. The database and analysis methods were established based on the precise molecular weight of compounds, retention time, neutral loss and reported data, and then the final data were obtained by comparing with the blank control group, combining with the deviation and the cracking rule of the compound. The results showed that the glucoses, hydroxylation and dehydroxylation, methylation and demethylation, dehydrogenation, decarboxylation and hydrolysis of saponin D, B₇ and BD occurred in the plasma and colon tissues of normal and UC model rats. This study will clarify the metabolic transformation of Pulsatilla saponins D, B₇ and BD in rats, determine the prototype components and their metabolites that enter the body, and whether colon injury will affect their metabolism in vivo, so as to explore the possible anti-colitis effective components in the prototype or metabolites of Pulsatilla saponins D, B₇ and BD. This experiment was approved by Animal Ethics Committee of Jiangxi Science and Technology Normal University (approval number: Y202227).