Objective To research the effectiveness of deep learning techniques in intelligently diagnosing dental caries and periapical periodontitis and to explore the preliminary application value of deep learning in the diagnosis of oral diseases.Methods A dataset containing 2 298 periapical films,including healthy teeth,dental caries,and peri-apical periodontitis,was used for the study.The dataset was randomly divided into 1 573 training images,233 valida-tion images,and 492 test images.By comparing various neural network models,the MobileNetV3 network model with better performance was selected for dental disease diagnosis,and the model was optimized by tuning the network hyper-parameters.The accuracy,precision,recall,and F1 score were used to evaluate the model's ability to recognize dental caries and periapical periodontitis.Class activation map was used to visualization analyze the performance of the net-work model.Results The algorithm achieved a relatively ideal intelligent diagnostic effect with precision,recall,and accuracy of 99.42%,99.73%,and 99.60%,respectively,and the F1 score was 99.57%for classifying healthy teeth,den-tal caries,and periapical periodontitis.The visualization of the class activation maps also showed that the network model can accurately extract features of dental diseases.Conclusion The tooth lesion detection algorithm based on the Mo-bileNetV3 network model can eliminate interference from image quality and human factors and has high diagnostic accu-racy,which can meet the needs of dental medicine teaching and clinical applications.

Chronic liver disease is the"devil's trilogy"in which the liver progresses from inflammation and fibrosis to liver cirrhosis and hepatocellular carcinoma,which poses a great challenge for hepatologists worldwide.Statins have played a significant role in the treatment of cardiovascular diseases and hyperlipidemia since their introduction,and in recent years,they have also demonstrated the potential to improve hepatic steatosis,exert an anti-inflammatory effect,regulate the phenotype of hepatic stellate cells,reduce portal venous pressure,and improve hepatic microcirculation in chronic liver disease.This article reviews the latest advances in the basic and clinical studies of statins in chronic liver disease,in order to provide new insights into the research,prevention,and treatment of chronic liver disease.

OBJECTIVE To provide suggestions for improving the path and system construction of patient engagement in drug regulation in China. METHODS By reviewing initiatives and experiences from the United States （U. S.）， European Union （EU）， and Japan in promoting patient engagement， this study summarizes the roles and contributions of patients in the entire drug regulatory process internationally. Combining China’s current progress and challenges in patient engagement， specific proposals are formulated to refine regulatory pathways and institutional systems. RESULTS & CONCLUSIONS With growing global emphasis on patient engagement as a regulatory strategy， countries or regions such as the U.S.， EU， and Japan have established clear policies， designated oversight agencies， and developed diversified pathways for patient engagement. Patients contribute to regulatory processes through advisory meetings， direct decision-making roles， and leveraging lived experiences and expertise to optimize drug evaluation and monitoring. In contrast， China’s patient engagement remains primarily limited to clinical value- oriented drug development， lacking formal policy guidance. It is recommended that China， based on its existing policy system， further strengthen the construction of a safeguard system for patient engagement， improve the capacity building and pathway models for patient participation in pharmaceutical regulation， and promote the continuous development of patient engagement in pharmaceutical regulation in our country.