ObjectiveTo develop a community-family management model for older adults with mild cognitive impairment (MCI) and to formulate detailed application specifications, and to fully leverage the initiative of communities and families under limited resource conditions, for achieving community-based early detection and early intervention for older adults with MCI. MethodsA systematic literature review was conducted to identify pertinent publications. Corpus-based research methodologies were employed to extract, refine, integrate and synthesize management elements, thereby establishing the specific content and service processes for each stage of the management model. Utilizing the 5W2H analytical framework, essential elements such as management stakeholders, target populations, content and methods for each stage were delineated. The model and its application guidelines were finalized through expert consultation and demonstration. ResultsAn expert evaluation of the management model yielded mean scores of 4.84, 4.32 and 4.84 for acceptability, feasibility and systematicity, respectively. By integrating the identified core elements with expert ratings and feedback, the final iteration of the community-family management model for older adults with MCI was formulated. This model comprised of five stages: screening and identification, comprehensive assessment, intervention planning, monitoring and referral pathways to ensure implementation, and enhanced support for communities, family members and caregivers. Additionally, it included 18 specific application guidelines. ConclusionThe proposed management model may theoretically help delay cognitive decline, improve cognitive function and potentially promote reversal from MCI to normal cognition. It may also enhance the awareness and coping capacity of older adults and their families, strengthen community healthcare professionals' ability to early identify and manage MCI.

OBJECTIVE To monitor the common pathogens for viral diarrhea in children under 5 years old in Wuxi area,and to analyze their epidemiological characteristics and trends.METHODS Diarrhea specimens were collected from inpatient and outpatient children with diarrhea in sentinel hospitals in Wuxi from 2018 to 2023.The norovir-us,rotavirus,sapovirus,enteradenovirus and astrovirus were detected by Real-time fluorescence quantitative pol-ymerase chain reaction(PCR),and the monitoring results were statistically analyzed.RESULTS A total of 654 vi-rus-positive cases were detected from 1898 diarrhea specimens with an overall detection rate of 34.46%.Among them,norovirus and rotavirus had the highest detection rates 12.54%and 11.70%,respectively.The detection rate of viruses was the highest in children aged 12 to<24 months,reaching 59.03%.In inpatient children with di-arrhea,rotavirus had the highest detection rate at 14.03%,while in outpatient children with diarrhea,norovirus had the highest detection rate at 11.93%.There was a significant difference in the detection rate of rotavirus be-tween inpatient and outpatient children(P<0.05).CONCLUSION Viral diarrheal diseases exhibit a notably high detection rate among children aged 12 to<24 months in Wuxi,suggesting the need to further optimize prevention and control measures for this age group.

Objective To investigate the impacts of intervertebral foramen endoscopic surgery combined with silver needle hyperthermia therapy on lumbar spine function and local tenderness in patients with lumbar disc herniation(LDH).Methods From April 2020 to March 2023,100 LDH patients were randomly devided into a control group(50 cases)and an observation group(50 cases)through random number table method.The control group was treated with intervertebral foramen endoscopic surgery combined with conventional lumbar and dorsal muscle training,while observed group was treated with intervertebral foramen endoscopic surgery combined with silver needle warm therapy.The lumbar function,local tenderness,laboratory indicators,and adverse reactions were compared.Results The Japanese Orthopaedic Association(JOA)score increased in both groups after treatment,and observed group had obviously higher scores,the differences were statistically significant(P<0.05);After treatment,both groups showed a decrease in pain visual analogue scale(VAS)score,and observed group had obviously lower scores,the differences were statistically significant(P<0.05);The levels of interleukin-6(IL-6),tumor necrosis factor-α(TNF-α),prostaglandin E2(PGE2),and 5-hydroxytryptamine(5-HT)in both groups decreased after treatment,and the observed group showed a more obvious decrease in all indicators,the differences were statistically significant(P<0.05);The incidence of adverse reactions was 4.00%(2/50)in observed group and 20.00%(10/50)in the control group,adverse reactions in observed group were obviously fewer,the difference was statistically significant(P<0.05).Conclusion The combination of intervertebral foramen endoscopic surgery and silver needle hyperthermia therapy can effectively improve lumbar spine function and alleviate local tenderness symptoms in patients with LDH.It is worthy clinical application.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

Anticipatory anxiety is a negative emotion that arises when individuals encounter potential threats or uncertainties in the future. It is the core symptom of a variety of anxiety disorders, and is closely associated with the occurrence, severity, treatment outcome, and prognosis of anxiety disorders, which has garnered a growing amount of focus in clinical practice. Nevertheless, scientific research on anticipatory anxiety continues to face obstacles such as unclear pathological mechanisms, the absence of simple and consistent self-assessment tools, and effective interventions. To improve understanding of the role of anticipatory anxiety in the diagnosis and treatment of anxiety disorders, this study reviews pertinent domestic and international literature, and briefly introduces the concept, assessment and measurement, activation paradigm, pathological mechanisms, and interventions of anticipatory anxiety.

Animal disease models are important biological tools for basic medical research.Establishing an ideal animal model is a critical prerequisite for acquiring reliable experimental data.By enabling molecular-level characterization,omics technologies can enhance the precision of animal model assessments,thereby improving the evaluation criteria.This review summarizes the current applications of omics in evaluating animal disease models,discusses their potential for quality control implementation,and proposes novel frameworks for standardized model validation.

Objective: To investigate the protective effects of morusin on lipopolysaccharide (LPS)-induced acute liver injury in mice and its underlying mechanisms. Methods: Thirty-two male specific pathogen-free (SPF) C57BL/6J mice were randomly divided into four groups (n = 8 per group): control, LPS, low-dose morusin (morusin-L, 10 mg/kg), and high-dose morusin (morusin-H, 20 mg/kg) groups. The mice in each group were administered the corresponding drugs or normal saline via continuous gavage daily for 16 consecutive days. Except for control group, which received an equal volume of normal saline, other groups were intraperitoneally injected with LPS (5 mg/kg) 2 h after the last gavage to establish the acute liver injury model. Serum and liver tissues were collected for subsequent analysis 6 h after LPS injection. The activities of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) in serum were detected with biochemical methods. The levels of tumor necrosis factor (TNF)-α, interleukin (IL)-6, and IL-1β in serum were measured by enzyme-linked immunosorbent assay (ELISA). Hepatic pathological changes were evaluated by hematoxylin-eosin (HE) staining. The 16S ribosomal RNA (16S rRNA) sequencing was performed to assess the composition of intestinal flora, linear discriminant analysis effect size (LEfSe) was applied for multi-level species discrimination, and Spearman’s correlation analysis was performed. The liver tissues of mice with acute liver injury were analyzed by RNA sequencing (RNA-seq) technology to identify differentially expressed genes (DEGs), and then enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway was conducted. The expression levels of selected genes was validated by quantitative reverse transcription polymerase chain reaction (qRT-PCR), while immunohistochemistry (IHC) was performed to examine the expression levels of IL-6, myeloid differentiation primary response 88 (MYD88), and toll-like receptor 2 (TLR2). Results: Morusin significantly reduced the serum levels of ALT, AST, and inflammatory factors (TNF-α, IL-6, and IL-1β) (P < 0.05, P < 0.01, or P < 0.001), while alleviating the hepatic pathological damage in mice. Based on efficacy comparisons, morusin-H group was selected for subsequent microbiome and transcriptome analyses. Microbiome analysis revealed that morusin-H effectively mitigated LPS-induced gut dysbiosis and restored the Firmicutes/Bacteroidota balance (P < 0.01). At the genus level, morusin-H significantly reduced the abundances of norank_f_Muribaculaceae, Desulfovibrio, Parabacteroides, and Muribaculum (P < 0.05, P < 0.01, or P < 0.001). At the phylum, family, and genus levels, our findings indicated that morusin-H treatment caused a significant decrease in the abundance of Desulfobacterota, Desulfovibrionaceae, and Desulfovibrio (P < 0.01). Importantly, the abundance of Desulfovibrio was positively correlated with the levels of ALT, AST, TNF-α, IL-1β, and IL-6. Transcriptomic and molecular analyses showed that the therapeutic mechanism of morusin-H involved suppression of the IL-17/TNF signaling pathways and downregulating the mRNA levels of Tlr2, Tlr3, Myd88, Il6, and Cxcl10 (P < 0.05 or P < 0.001), as well as the protein levels of key inflammatory mediators (IL-6, MYD88, and TLR2) (P < 0.001). Conclusion Morusin demonstrates protective effects against LPS-induced acute liver injury, likely through modulation of gut microbiota and suppression of pro-inflammatory factor expression. These findings indicate that morusin exerts its effects through the "microbiota-inflammation-liver" axis, providing a theoretical basis for its use as a multi-target plant-based drug in the treatment of metabolic inflammation-related liver diseases.

Osteopontin (OPN) is a secreted extracellular matrix glycoprotein that exists in body fluids and mediates multiple biological functions. The expression of OPN is particularly critical and active after ischemic stroke, and has dual significance for the body. The rapid increase of OPN has certain protective effects on the body, such as anti-inflammatory and promoting wound healing; if the rate of increase is relatively slower, it will have adverse effects on the body, such as promoting thrombosis and inducing inflammatory reactions. This article reviews the research progress of OPN in ischemic stroke.

Objective To investigate the impacts of intervertebral foramen endoscopic surgery combined with silver needle hyperthermia therapy on lumbar spine function and local tenderness in patients with lumbar disc herniation(LDH).Methods From April 2020 to March 2023,100 LDH patients were randomly devided into a control group(50 cases)and an observation group(50 cases)through random number table method.The control group was treated with intervertebral foramen endoscopic surgery combined with conventional lumbar and dorsal muscle training,while observed group was treated with intervertebral foramen endoscopic surgery combined with silver needle warm therapy.The lumbar function,local tenderness,laboratory indicators,and adverse reactions were compared.Results The Japanese Orthopaedic Association(JOA)score increased in both groups after treatment,and observed group had obviously higher scores,the differences were statistically significant(P<0.05);After treatment,both groups showed a decrease in pain visual analogue scale(VAS)score,and observed group had obviously lower scores,the differences were statistically significant(P<0.05);The levels of interleukin-6(IL-6),tumor necrosis factor-α(TNF-α),prostaglandin E2(PGE2),and 5-hydroxytryptamine(5-HT)in both groups decreased after treatment,and the observed group showed a more obvious decrease in all indicators,the differences were statistically significant(P<0.05);The incidence of adverse reactions was 4.00%(2/50)in observed group and 20.00%(10/50)in the control group,adverse reactions in observed group were obviously fewer,the difference was statistically significant(P<0.05).Conclusion The combination of intervertebral foramen endoscopic surgery and silver needle hyperthermia therapy can effectively improve lumbar spine function and alleviate local tenderness symptoms in patients with LDH.It is worthy clinical application.

Objective:To evaluate the effect of an obstetric artificial intelligence (AI) assistant combined with a family-centered health education model on maternal self-care ability, comfort status, and spousal caregiving ability.Methods:This prospective, single-center, parallel randomized controlled trial used 1∶1 randomization and was conducted as a superiority trial. Postpartum mothers and their spouses admitted to family-style single rooms at the Third Affiliated Hospital of Guangzhou Medical University between October 2024 and April 2025 were enrolled and randomly assigned to control or intervention groups using a random number table. The control group received conventional health education, while the intervention group received conventional health education plus the AI-assisted family-centered model. Interventions were administered at 2 hours, 6 hours, and 24 hours postpartum, and before discharge. Outcomes included maternal self-care ability, comfort status, and spousal caregiving ability, which were assessed at 2 hours postpartum and before discharge. Data were analyzed using independent and paired t-tests and Chi square tests. Results:Of the 88 mother-spouse dyads initially recruited, four were excluded due to mother-infant separation (e.g., neonatal jaundice), leaving 84 dyads (42 per group). After the intervention, the intervention group showed significantly higher maternal self-care ability scores [(192.81±13.80) vs. (181.00±21.41) scores, t=3.00], higher maternal comfort scores [(104.43±7.52) vs. (96.00±14.29) scores, t=3.38], and better spousal caregiving ability [(6.07±3.13) vs. (9.50±5.02) scores, t=－3.76] compared to the control group (all P<0.05). Conclusion:The obstetric AI assistant combined with a family-centered health education model significantly improved maternal self-care ability and comfort status, as well as spousal caregiving ability.