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*

Based on the interleukin-17(IL-17) signaling pathway, this study explores the effect and mechanism of Bufei Decoction on Klebsiella pneumoniae pneumonia in rats. SD rats were randomly divided into the control group, model group, Bufei Decoction low-dose group(6.68 g·kg~(-1)·d~(-1)), Bufei Decoction high-dose group(13.36 g·kg~(-1)·d~(-1)), and dexamethasone group(1.04 mg·kg~(-1)·d~(-1)), with 10 rats in each group. A pneumonia model was established by tracheal drip injection of K. pneumoniae. After successful model establishment, the improvement in lung tissue damage was observed following drug administration. Core targets and signaling pathways were screened using transcriptomics techniques. Real-time fluorescence quantitative polymerase chain reaction was used to detect the mRNA expression of core targets interleukin-6(IL-6), interleukin-1β(IL-1β), tumor necrosis factor-α(TNF-α), and chemokine CXC ligand 6(CXCL6). Western blot was used to assess key proteins in the IL-17 signaling pathway, including interleukin-17A(IL-17A), nuclear transcription factor-κB activator 1(Act1), tumor necrosis factor receptor-associated factor 6(TRAF6), and downstream phosphorylated p38 mitogen-activated protein kinase(p-p38 MAPK), and phosphorylated nuclear factor-κB p65(p-NF-κB p65). Apoptosis of lung tissue cells was detected by terminal deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling(TUNEL). The results showed that, compared with the control group, the model group exhibited significant pathological damage in lung tissue. The mRNA expression of IL-6, IL-1β, TNF-α, and CXCL6, as well as the protein levels of IL-17A, Act1, TRAF6, p-p38 MAPK/p38 MAPK, and p-NF-κB p65/NF-κB p65, were significantly increased, and the number of apoptotic cells was notably higher, indicating successful model establishment. Compared with the model group, both low-and high-dose groups of Bufei Decoction showed reduced pathological damage in lung tissue. The mRNA expression levels of IL-6, IL-1β, TNF-α, and CXCL6, and the protein levels of IL-17A, Act1, TRAF6, p-p38 MAPK/p38 MAPK, and p-NF-κB p65/NF-κB p65, were significantly decreased, with a significant reduction in apoptotic cells in the high-dose group. In conclusion, Bufei Decoction can effectively improve lung tissue damage and reduce inflammation in rats with K. pneumoniae. The mechanism may involve the regulation of the IL-17 signaling pathway and the reduction of apoptosis.
Animals ; Interleukin-17/metabolism* ; Drugs, Chinese Herbal/administration & dosage* ; Rats, Sprague-Dawley ; Signal Transduction/drug effects* ; Rats ; Male ; Klebsiella pneumoniae/physiology* ; Klebsiella Infections/immunology* ; Humans ; Lung/drug effects*

Apical microsurgery is accurate and minimally invasive, produces few complications, and has a success rate of more than 90%. However, due to the lack of awareness and understanding of apical microsurgery by dental general practitioners and even endodontists, many clinical problems remain to be overcome. The consensus has gathered well-known domestic experts to hold a series of special discussions and reached the consensus. This document specifies the indications, contraindications, preoperative preparations, operational procedures, complication prevention measures, and efficacy evaluation of apical microsurgery and is applicable to dentists who perform apical microsurgery after systematic training.
Microsurgery/standards* ; Humans ; Apicoectomy ; Contraindications, Procedure ; Tooth Apex/diagnostic imaging* ; Postoperative Complications/prevention & control* ; Consensus ; Treatment Outcome

Objective To study the application of the trinity model and trinity forecasting method in predicting the incidence trend of pulmonary tuberculosis(PTB).Methods By applying the monthly PTB incidence data in Zhe-jiang Province from 2011 to 2021,a prediction model was constructed based on the trinity model and trinity forecas-ting method.Predictive performance of the model was evaluated.Results The mean relative prediction errors of model 1 and model 2 based on trinity model and trinity forecasting method were 7.94％and 8.43％,respectively.The mean relative prediction error obtained by adopting autoregressive integrated moving average(ARIMA)model was 8.87％,and the above mean relative prediction error were all in the range of 7.9％-8.9％,which presented an excellent performance of the forecasting model.Conclusion The trinity model is an excellent time series forecasting model,and the trinity forecasting method is an excellent time series forecasting method,with high application value.

Objective: To evaluate the efficacy of decitabine combined with low dose chemotherapy (LDC) in the treatment of high-risk, refractory and relapsed pediatric acute myeloid leukemia (AML). Methods: Clinical data of 19 AML children treated with decitabine combined with LDC in the Department of Hematology, Children's Hospital of Soochow University from April 2017 to November 2019 were analyzed retrospectively. The therapeutic response, adverse effects and survival status were analyzed,and the outcomes of patients were followed up. Results: Among 19 AML cases, there were 10 males and 9 females. Five cases were high-risk AML, 7 cases were refractory AML, and 7 cases were relapsed AML. After one course of decitabine+LDC treatment, 15 cases achieved complete remission, 3 cases got partial remission, and only 1 case didn't get remission. All patients received allogeneic hematopoietic stem cell transplantation as consolidation therapy. The follow-up time of all cases was 46 (37, 58) months, 14 children had survived. The cumulative three-year overall survival rate was (79±9) %, events free survival rates was (68±11) %, and recurrence free survival rate was (81±10) %. The most common adverse effects related to the induction treatment were cytopenia (19 cases) and infection (16 cases).There were no treatment-related death during the therapy. Conclusion: Decitabine combined with LDC is a safe and effective option for high-risk, refractory and relapsed AML children, which provides an opportunity for HSCT.
Female ; Male ; Humans ; Child ; Decitabine ; Retrospective Studies ; Leukemia, Myeloid, Acute/drug therapy* ; Drug-Related Side Effects and Adverse Reactions ; Hematopoietic Stem Cell Transplantation

Steroidal saponins, important natural organic compounds in Paris polyphylla var. yunnanensis, have good biological activity. Structural modification of steroidal saponins by microbial transformation could produce a large number of products with novel structures and excellent bioactivity, which can provide functional compounds for the research and development of steroidal drugs. This study summarized the research progress in steroidal saponins and their microbial transformation in P. polyphylla var. yunnanensis. P. polyphylla var. yunnanensis contains 112 steroidal saponins, 8 of which are used as substrates in 35 transformation reactions by 25 microbial species, with the highest transformation rate of 95%. Diosgenin is the most frequently used substrate. Furthermore, the strains, culture medium, reaction conditions, transformation rate, transformation reaction characteristics, and biological activities of the transformed products were summarized. This review may provide reference for the further research on microbial transformation of steroidal saponins in P. polyphylla var. yunnanensis.
Diosgenin/analysis* ; Liliaceae/chemistry* ; Melanthiaceae/chemistry* ; Rhizome/chemistry* ; Saponins/analysis*

Data mining is an important method to obtain the key information from a large amount of data, and it is widely applied in the research on the modernization of traditional Chinese medicine(TCM). The compatibility law of herbs is a key issue in the research of TCM prescriptions. This reflects the flexibility and effectiveness of TCM prescriptions, and it is also a crucial link to the development of TCM modernization. Therefore, it is the core purpose of the research on TCM prescriptions to find the compatibility law of herbs and clarify the scientific connotation. Data mining, as an effective method and an important approach, has formed a standardized system in the research of compatibility law of herbs, which can reveal the relationship between different Chinese herbs and summarize the internal rules in compatibility. Two hundred and twenty two effective papers were sorted out and categorized in this article. The results showed that data mining was mainly applied in finding the core Chinese herb pairs, summarizing the utility and attributes of TCM prescriptions, revealing the relationship between prescriptions, Chinese herbs and syndromes, finding the optimal dose of Chinese herbs, and producing the new prescriptions. The problems of data mining in research of herbs compatibility rules were summarized, and its development and trend in current researches were discussed in this article to provide useful references for the in-depth study of data mining in the compatibility law of Chinese herbs.
Data Mining ; Drugs, Chinese Herbal ; Humans ; Medicine, Chinese Traditional ; Prescriptions ; Syndrome

Objective:To systematically evaluate the efficacy of oral Chinese herbal prescriptions combined with transcatheter arterial chemoembolization （TACE） against primary hepatic carcinoma （PHC） and screen the basic Chinese herbs，in order to provide certain reference for clinical medication. Method:The randomized controlled trials concerning the treatment of PHC with oral Chinese herbal prescriptions plus TACE were retrieved from CBM，China National Knowledge Infrastructure （CNKI），Chongqing Weipu Database for Chinese Technical Periodicals （VIP），and Wanfang Data Knowledge Service Platform.The quality of the included trials was evaluated by Cochrane handbook，and the Meta-analysis was performed using RevMan 5.3.The enumeration data were expressed by odds ratio （OR），the measurement data by mean difference （MD） or standardized mean difference （SMD），and the effect size by 95% confidence interval （CI）.The data of oral Chinese herbal prescriptions involved in trials were sorted out and subjected to association rule analysis and frequency analysis based on the Traditional Chinese Medicine Inheritance Support System （TCMISS），for exploring the basic Chinese herbs and their dosages against PHC. Result:A total of 75 randomized controlled trials were included，involving 7 406 cases. As revealed by the Meta-analysis，oral Chinese herbal prescriptions combined with TACE was significantly better than TACE alone in improving the short-term curative effect ［OR=2.05，95%CI（1.83，2.29）］，decreasing alpha fetoprotein （AFP） ［MD=-59.02，95%CI（-79.03，-39.01）］，ameliorating liver function ［SMD=-1.23，95%CI（-1.58，-0.88）］，boosting immunity ［SMD=1.08，95%CI（0.84，1.32）］，adjusting Karnofsky Performance Status （KPS） scale score ［OR=2.7，95%CI（1.11，11.02）］，elevating survival rate ［OR=2.31，95%CI（1.96，2.71）］，and reducing adverse reactions ［OR=0.38，95%CI（0.34，0.43）］.Data mining results showed that the basic Chinese herbs against PHC were Bupleuri Radix，Paeoniae Alba Radix，Atractylodis Macrocephalae Rhizoma，Poria，and Glycyrrhizae Radix et Rhizoma，with their clinical dosages listed as follows：6-15 g for Bupleuri Radix，10-15 g for Paeoniae Alba Radix，9-15 g for Atractylodis Macrocephalae Rhizoma，10-15 g for Poria，and 3-10 g for Glycyrrhizae Radix et Rhizoma. Conclusion:The oral Chinese herbal prescriptions combined with TACE produce better effects in treatment of PHC as compared with TACE alone.These five basic Chinese herbs have anti-cancer effect，and their dosages are within the ranges stipulated in 2020 edition of Chinese Pharmacopoeia.This Meta-analysis has provided certain reference for clinical medication.

Objective: To evaluate the residual radioactivity after ¹³¹I treatment in postoperative inpatients with differentiated thyroid carcinoma (DTC) using service robot in nuclear medicine ward, and assess the time for patients to be released from isolation. Methods: From September 2017 to June 2018, 297 patients (94 males, 203 females, age: 19-80 years) with DTC who underwent ¹³¹I treatment after surgery were included. According to the purpose of treatment and the prescription dosage of ¹³¹I, patients were divided into 8 groups: 4 groups accepted ¹³¹I remnant ablation therapy (RAT) with different dosages, which were 3 700 MBq (RAT1, n=34), 4 440 MBq (RAT2, n=122), 5 550 MBq (RAT3, n=81) and 7 400 MBq (RAT4, n=27), respectively; 4 groups had ¹³¹I treatment for recurrent/metastatic lesions (RMLT), and the dosages were 3 700 MBq (n=1), 4 440 MBq (n=2), 5 550 MBq (n=14) and 7 400 MBq (n=16). At 4, 24, 48 and 72 h after ¹³¹I administration, the dose equivalent rates at 2 cm away from the patient′s neck and at 1 m away from the body were measured by the robot designed for nuclear medicine ward. Kruskal-Wallis rank sum test and Mann-Whitney U test were used to analyze the data. Results: Neck dose equivalent rates for patients with RAT at different time points (4, 24, 48 and 72 h) after ¹³¹I administration were significantly different among 4 groups (H values: 20.889-46.410, all P<0.05), as well as the body dose equivalent rates (H values: 27.181-35.497, all P<0.05). The neck dose equivalent rates at 24, 48 and 72 h after ¹³¹I administration were statistically different between group 3 and 4 for patients with RMLT (z values: 2.328-3.076, all P<0.05; data in group 1 and 2 were too limited to be compared), while there was no statistical difference for the body dose equivalent rates (z values: 0.333-1.621, all P>0.05). The radioactivity retention in patients decreased rapidly within 24 h, then slowed down gradually and became extremely low at 72 h. At 72 h after ¹³¹I administration, 96.6%(255/264) patients with RAT and 100%(33/33) patients with RMLT were lower than 23.3 μSv/h, which meant the patients could be discharged from hospitalization. Conclusions Nuclear medicine ward service robots may dynamically measure residual radioactivity in DTC patients who take ¹³¹I treatment, providing individualized isolation solutions.

Objective: To evaluate clinical characteristics and prognosis of primary myelofibrosis (PMF) patients with thrombocytopenia in varied degrees. Methods: Clinical features and survival data of 1 305 Chinese patients with PMF were retrospectively analyzed. The prognostic value of thrombocytopenia in patients with PMF was evaluated. Results: 320 subjects (47%) presented severe thrombocytopenia (PLT<50×10(9)/L), 198 ones (15.2%) mild thrombocytopenia [PLT (50-99)×10(9)/L] and 787 ones (60.3%) without thrombocytopenia (PLT ≥ 100×10(9)/L). The more severe the thrombocytopenia, the higher the proportions of HGB<100 g/L, WBC<4×10(9)/L, circulating blasts ≥ 3%, abnormal karyotype and unfavourable cytogenetics (P<0.001, P<0.001, P=0.004, P<0.001 and P<0.001, respectively) were observed in this cohort of patients. The more severe the thrombocytopenia, the lower the proportion of JAK2V617F positive (P<0.001) was also noticed. Platelet count was positively correlated with splenomegaly, HGB and WBC (P<0.001, correlation coefficients were 0.131, 0.445 and 0.156, respectively). Platelet count was negative correlated with constitutional symptoms and circulating blasts (P=0.009, P=0.045, respectively; correlation coefficients were -0.096 and -0.056, respectively). The median survival of patients with severe thrombocytopenia, mild thrombocytopenia and without thrombocytopenia were 32, 67 and 89 months, respectively (P<0.001). Multivariate analysis identified thrombocytopenia in varied degrees (HR=1.693, 95%CI 1.320-2.173, P<0.001) and Dynamic Internation Prognostic Scoring System(DIPSS) prognostic model (HR=2.051, 95%CI 1.511-2.784, P<0.001) as independent risk factors for survival. Conclusion: PMF patients with severe thrombocytopenia frequently displayed anemia, leucopenia, circulating blasts and short survival, so active treatment measures should be taken especially in these patients.
Humans ; Primary Myelofibrosis ; Prognosis ; Retrospective Studies ; Thrombocytopenia