Medical imaging foundation models, as an important direction in the intelligent analysis of medical images, are driving a paradigm shift in this field—from task-specific modeling for individual tasks toward a new paradigm grounded in large-scale pre-training and general-purpose representation learning. These models have demonstrated considerable potential in multimodal information integration, cross-task transfer, multi-scenario adaptation, and generative interaction. However, most current studies remain based on benchmark datasets, retrospective cohorts, or controlled experimental conditions, and still face challenges such as insufficient data representativeness, task settings that deviate from real-world clinical workflows, inadequate validation of generalizability and robustness, and ambiguous boundaries of ethical oversight and accountability. This article reviews the research background, key technologies, and advances in the applications of medical imaging foundation models, and further discusses practical challenges including data governance, workflow integration, and ethical regulation, with the aim of providing guidance for related research and clinical translation.

Peritoneal metastasis is a key factor in the poor prognosis of advanced gastrointestinal cancer patients. Traditional radiological diagnostic faces challenges such as insufficient sensitivity. Through technologies like radiomics and deep learning, artificial intelligence can deeply analyze the tumor heterogeneity and microenvironment features in medical images, revealing markers of peritoneal metastasis and constructing high-precision predictive models. These technologies have demonstrated advantages in tasks such as predicting peritoneal metastasis, assessing the risk of peritoneal recurrence, and identifying small metastatic foci during surgery. This paper summarizes the representative progress and application prospects of medical imaging artificial intelligence in the diagnosis and treatment of peritoneal metastasis, and discusses potential development directions such as multimodal data fusion and large model. The integration of medical imaging artificial intelligence with clinical practice is expected to advance personalized and precision medicine in the diagnosis and treatment of peritoneal metastasis in gastrointestinal cancers.

OBJECTIVE To explore the epidemiological characteristics of human immunodeficiency virus(HIV)/ac-quired immune deficiency syndrome(AIDS)complicated with anorectal diseases and analyze the clinical character-istics of the HIV-positive patients with perianal abscess.METHODS Totally 152 HIV/AIDS patients who were complicated with anorectal diseases and were treated in The Eighth Hospital of Wuhan from Jan.2020 to Dec.2023 were recruited as the research subjects,36 of whom had perianal abscess.The manifestations of anorec-tal diseases,treatment status and incidence rates of the diseases among the patients with different clinical charac-teristics in the different years were statistically analyzed.The clinical characteristics of the HIV-positive patients with perianal abscess were observed.RESULTS Of the 152 HIV/AIDS patients complicated with anorectal disea-ses,51.97％had mixed hemorrhoid,and 23.68％had perianal abscess.The number of patients with HIV/AIDS complicated with anorectal diseases gradually increased from 2020 to 2023;while the incidence rate of male,aged between 30 and 40 years old,married individuals,those with primary school education or below and famers were relatively high.Among the HIV/AIDS patients complicated with anorectal diseases,139 underwent surgical pro-cedures,and 23 did not.Among the 36 HIV-positive patients with perianal abscess,97.22％were male,50.00％were aged between 20 and 30 years old,and 44.44％were married.CONCLUSIONS The number of HIV/AIDS patients complicated with anorectal diseases is gradually increased from 2020 to 2023;the incidence rates are rela-tively high among the patients who are male,aged between 30 and 40 years old,married,with primary school edu-cation or below and famers.Perianal abscess and mixed hemorrhoid are the major types of anorectal diseases.Sur-gical procedures are recommended for HIV/AIDS patients complicated with anorectal diseases,while the HIV-positive patients with perianal abscess are dominated by the population of male,aged between 20 and 30 years old and married.It is necessary to attach great importance to the detection of pathological characteristics of the HIV-positive patients with perianal abscess so as to take appropriate treatment measures to improve the therapeutic effect.

OBJECTIVE To explore the epidemiological characteristics of human immunodeficiency virus(HIV)/ac-quired immune deficiency syndrome(AIDS)complicated with anorectal diseases and analyze the clinical character-istics of the HIV-positive patients with perianal abscess.METHODS Totally 152 HIV/AIDS patients who were complicated with anorectal diseases and were treated in The Eighth Hospital of Wuhan from Jan.2020 to Dec.2023 were recruited as the research subjects,36 of whom had perianal abscess.The manifestations of anorec-tal diseases,treatment status and incidence rates of the diseases among the patients with different clinical charac-teristics in the different years were statistically analyzed.The clinical characteristics of the HIV-positive patients with perianal abscess were observed.RESULTS Of the 152 HIV/AIDS patients complicated with anorectal disea-ses,51.97％had mixed hemorrhoid,and 23.68％had perianal abscess.The number of patients with HIV/AIDS complicated with anorectal diseases gradually increased from 2020 to 2023;while the incidence rate of male,aged between 30 and 40 years old,married individuals,those with primary school education or below and famers were relatively high.Among the HIV/AIDS patients complicated with anorectal diseases,139 underwent surgical pro-cedures,and 23 did not.Among the 36 HIV-positive patients with perianal abscess,97.22％were male,50.00％were aged between 20 and 30 years old,and 44.44％were married.CONCLUSIONS The number of HIV/AIDS patients complicated with anorectal diseases is gradually increased from 2020 to 2023;the incidence rates are rela-tively high among the patients who are male,aged between 30 and 40 years old,married,with primary school edu-cation or below and famers.Perianal abscess and mixed hemorrhoid are the major types of anorectal diseases.Sur-gical procedures are recommended for HIV/AIDS patients complicated with anorectal diseases,while the HIV-positive patients with perianal abscess are dominated by the population of male,aged between 20 and 30 years old and married.It is necessary to attach great importance to the detection of pathological characteristics of the HIV-positive patients with perianal abscess so as to take appropriate treatment measures to improve the therapeutic effect.

Objective To explore the effects of hypoxia on spermatid differentiation and stability of sperm flagellar microtubule,and investigate the underlying molecular mechanisms in order to clarify the potential adverse effects of hypoxia on male reproductive function.Methods Forty-eight 8-week-old healthy male SD rats(weighing 300～399 g)were subjected in this study.The experiments included ① an oxygen concentration gradient experiment(n=6):21％oxygen was regarded as normoxia(control),and 13.5％,11.8％,and 10.4％ oxygen were used to simulate hypoxic environments at altitudes of 3 500,4 500 and 5 500 m,respectively,for a continuous exposure of 2 months;② a time gradient experiment(n=6):the rats were exposed to 10.4％ oxygen for 0,0.5,1,and 2 months,respectively.Flow cytometry was employed to isolate round spermatids,and the following methods were employed to measure relevant indicators:① RNA sequencing to analyze gene expression profile changes related to impaired spermatogenesis and abnormal flagellar structure under hypoxic stress;②Western blotting to detect the expression levels of key proteins CEP290,RING 1A,and H2AK119ub;③ fluorescence recovery after photobleaching(FRAP)to monitor microtubule assembly dynamics and assess the immediate impact of hypoxia on microtubule stability.Results In the oxygen concentration gradient experiment,after 2 months of exposure to 10.4％ oxygen,the proportions of spermatogonia,secondary spermatocytes,and round spermatids in rat seminiferous tubules were significantly increased(P＜0.05),reaching 1.33±0.04,1.06±0.01 and 1.60±0.02 times higher,respectively than that of the 21％ normoxia group.Conversely,the proportions of primary spermatocytes and elongated spermatids were obviously decreased(P＜0.05),taking 0.89±0.01 and 0.88±0.000 2 times respectively when compared with that of the 21％ normoxia group,in a oxygen concentration-depended manner.In the time gradient experiment,after 0.5 months of exposure to 10.4％oxygen,the proportions of spermatogonia,secondary spermatocytes,and round spermatids began to increase(P＜0.05),reaching 1.11±0.03,1.04±0.01 and 1.29±0.003 times higher,respectively than that of the 0-month control group.The proportions of primary spermatocytes and elongated spermatids started to significantly decrease(P＜0.05)after 1 month of exposure,only 0.94±0.03 and 0.95±0.008 times,respectively than that of the 0-month control group.After 2 months of exposure to 10.4％ oxygen,the rate of sperm tail abnormalities in the epididymis of rats was significantly increased(P＜0.05),rising from(12.1±1.7)％ in the 21％ normoxia group to(30.8±3.7)％.In G2 spermatocytes exposed to 1％ hypoxia for 24 h,FRAP revealed a decrease in microtubule assembly rate and enhanced microtubule dynamic instability,with the maximum fluorescence recovery value decreasing from 0.37±0.02 in the normoxia group to 0.29±0.01.The results of RNA sequencing showed that under hypoxic condition,the transcription level of the key cilium basal body molecule CEP290 was increased,with an upregulation of 1.81±0.11 times than that of the 21％ normoxia group.In contrast,the expression levels of PRC1 complex members RING 1A,RING 1B,CBX2,PHC1,and PCGF1 were decreased,to 0.74±0.02,0.73±0.01,0.78±0.02,0.71±0.01 and 0.86±0.03 times of that of the 21％ normoxia group,respectively.Western blotting indicated that the protein level of CEP290 was up-regulated in the hypoxia group,while that of RING 1A was down-regulated.ChIP-qPCR experiments showed that the binding of RING 1A and its product H2AK119ub to the CEP290 promoter were significantly decreased(P＜0.000 1),with binding strengths of 0.38±0.02 and 0.52±0.06 times of that of the 21％ normoxia group,respectively.In siRING 1A-treated G2 cells,the binding of H2AK119ub to the CEP290 promoter was significantly decreased(P＜0.000 1),with a binding strength of 0.74±0.06 times of that of the control group,while CEP290 mRNA level was significantly increased(P＜0.000 1),with an up-regulation of 3.35±0.37 times.Conclusion Hypoxic environment impair sperm flagellar microtubule stability via the RING 1A-H2AK119ub-CEP290 signaling axis,which affects spermatid differentiation and leads to spermatogenic dysfunction.

Peritoneal metastasis is a key factor in the poor prognosis of advanced gastrointestinal cancer patients. Traditional radiological diagnostic faces challenges such as insufficient sensitivity. Through technologies like radiomics and deep learning, artificial intelligence can deeply analyze the tumor heterogeneity and microenvironment features in medical images, revealing markers of peritoneal metastasis and constructing high-precision predictive models. These technologies have demonstrated advantages in tasks such as predicting peritoneal metastasis, assessing the risk of peritoneal recurrence, and identifying small metastatic foci during surgery. This paper summarizes the representative progress and application prospects of medical imaging artificial intelligence in the diagnosis and treatment of peritoneal metastasis, and discusses potential development directions such as multimodal data fusion and large model. The integration of medical imaging artificial intelligence with clinical practice is expected to advance personalized and precision medicine in the diagnosis and treatment of peritoneal metastasis in gastrointestinal cancers.

Recent advances in large models demonstrate significant prospects for transforming the field of medical imaging. These models, including large language models, large visual models, and multimodal large models, offer unprecedented capabilities in processing and interpreting complex medical data across various imaging modalities. By leveraging self-supervised pretraining on vast unlabeled datasets, cross-modal representation learning, and domain-specific medical knowledge adaptation through fine-tuning, large models can achieve higher diagnostic accuracy and more efficient workflows for key clinical tasks. This review summarizes the concepts, methods, and progress of large models in medical imaging, highlighting their potential in precision medicine. The article first outlines the integration of multimodal data under large model technologies, approaches for training large models with medical datasets, and the need for robust evaluation metrics. It then explores how large models can revolutionize applications in critical tasks such as image segmentation, disease diagnosis, personalized treatment strategies, and real-time interactive systems, thus pushing the boundaries of traditional imaging analysis. Despite their potential, the practical implementation of large models in medical imaging faces notable challenges, including the scarcity of high-quality medical data, the need for optimized perception of imaging phenotypes, safety considerations, and seamless integration with existing clinical workflows and equipment. As research progresses, the development of more efficient, interpretable, and generalizable models will be critical to ensuring their reliable deployment across diverse clinical environments. This review aims to provide insights into the current state of the field and provide directions for future research to facilitate the broader adoption of large models in clinical practice.
Humans ; Diagnostic Imaging/methods* ; Precision Medicine/methods* ; Image Processing, Computer-Assisted/methods*

The PA-PB1 interface of the influenza polymerase is an attractive site for antiviral drug design. In this study, we designed and synthesized a mini-library of indazole-containing compounds based on rational structure-based design to target the PB1-binding interface on PA. Biological evaluation of these compounds through a viral yield reduction assay revealed that compounds 27 and 31 both had a low micromolar range of the half maximal effective concentration (EC₅₀) values against A/WSN/33 (H1N1) (8.03 μmol/L for 27; 14.6 μmol/L for 31), while the most potent candidate 24 had an EC₅₀ value of 690 nM. Compound 24 was effective against different influenza strains including a pandemic H1N1 strain and an influenza B strain. Mechanistic studies confirmed that compound 24 bound PA with a K _d which equals to 1.88 μmol/L and disrupted the binding of PB1 to PA. The compound also decreased the lung viral titre in mice. In summary, we have identified a potent anti-influenza candidate with potency comparable to existing drugs and is effective against different viral strains. The therapeutic options for influenza infection have been limited by the occurrence of antiviral resistance, owing to the high mutation rate of viral proteins targeted by available drugs. To alleviate the public health burden of this issue, novel anti-influenza drugs are desired. In this study, we present our discovery of a novel class of indazole-containing compounds which exhibited favourable potency against both influenza A and B viruses. The EC₅₀ of the most potent compounds were within low micromolar to nanomolar concentrations. Furthermore, we show that the mouse lung viral titre decreased due to treatment with compound 24. Thus our findings identify promising candidates for further development of anti-influenza drugs suitable for clinical use.

The development of molecular imaging has been going on for more than 20 years. During this period, a large number of new imaging technologies for molecular imaging have been proposed, but only a small number of them have successfully achieved clinical transformation, entered the actual clinical application and achieved significant clinical results. Among them, intraoperative navigation based on fluorescence molecular imaging and quantitative analysis technology based on medical imaging big data are being carried out in more and more clinical trials and have gradually won wide recognition. Through the in-depth integration of these two technologies with artificial intelligence, a series of research results have been achieved in multiple clinical diagnosis and treat-ment processes such as preoperative diagnosis, intraoperative navigation and postoperative prediction of digestive system tumors, providing new technical support in the field of medical imaging for the individualized diagnosis and treatment of patients with digestive system diseases.

Objective To conduct a scoping review of research on the application of mobile health(mHealth)in the management of home enteral tube feeding,so as to provide references for future research and clinical practice.Methods A literature search was performed in the PubMed,Cochrane Library,Embase,Web of Science,CINAHL,CNKI,Wanfang,and CMB databases to identify relevant studies.The search period spanned from the establishment of databases until February 18,2024.According to the scoping review framework,2 researchers independently screened the studies,extracted the data of the included studies,and collaborated on the final analysis.Results A total of 24 studies were included.9 studies were conducted with interventions based on nursing models such as discharge planning model,"Hospital to Home"nutrition management model,guided care nursing model.The management forms included application,network communication software,and website.The content elements included education,assessment,consultation,referral,self-management,electronic health archive,appointment service,peer support.The outcome indicators included patients'physical and mental health,self-management ability,caregiver competence,family burden and user assessment.Conclusion The mHealth has played a positive role in the management of home enteral tube feeding.In the future,it is recommended to establish a multidisciplinary team to conduct high-quality research and continuously improve the form and content of mHealth management.