Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.

Objective: To understand the incidence of stroke in the population of Jinchang Cohort and the relationship between metabolic diseases and stroke, and provide scientific evidence for the prevention and treatment of stroke in the population. Methods: The epidemiological investigation data and physical examination data of the 33 042 follow-up participants in Jinchang Cohort were collected for a prospective cohort study. Restricted cubic splines functions was used to analyze the dose-response relationship between metabolic indexes and the risk of stroke incidence. Results: 1) The incidence rate of stroke in Jinchang Cohort was 1.59%, and the standardized incidence rate was 3.99%. 2) Hypertension (male HR=2.20, female HR=4.45) and dyslipidemia (male HR=1.49, female HR=1.79) were the risk factors of stroke incidence in the population and diabetes had influence on the incidence of stroke only in the males (HR=1.79), while obesity had influence only in the females (HR=1.64). The more kinds of metabolic diseases, the higher risk of stroke incidence was. 3) Systolic blood pressure had a non-linear dose-response correlation with the risk of stroke incidence, while diastolic blood pressure had a positive linear correlation with the risk of stroke incidence. Conclusions The incidence of stroke in Jinchang Cohort population was high compared with both domestic level and oversea level. The patients with metabolic diseases were the population at high-risk for stroke, and more attention should be paid to them in the prevention and treatment of stroke. Diastolic blood pressure might be more closely related to stroke.