Promoting health knowledge and improving the public's health literacy is an inherent requirement of the Healthy China Initiative.In the era of deepening implementation of the Healthy China strategy and rapid development of all media,large public hospitals play an irreplaceable and important role in leading the popularization of health knowledge and impro-ving the quality of information.However,in the process of carrying out health popularization work,many hospitals still face prob-lems such as lack of a regular working mechanism,lack of comprehensive team building,and lack of differentiated operation strategies.In response to these problems,the First Affiliated Hospital of Sun Yat-sen University has established a health populari-zation working mechanism led by the Party organization and coordinated at all levels,and has innovated in terms of personnel team,platform construction,content creation,and expression form,exploring a new model of health popularization work to pro-vide reference for other hospitals.

ObjectiveTo explore the effect and possible mechanism of electroacupuncture （EA） at Fenglong （ST40） on liver lipid synthesis and insulin resistance （IR） in hyperlipidemic （HLP） rats. MethodEighteen rats were randomly divided into three groups， blank group， model group， and EA group， each consisting of six rats. The blank group rats were with fed a basic diet， while those in the model group and EA group were fed high-fat diet for 8 weeks. After modeling， the rats in the EA group received bilateral EA treatment at “Fenglong” （ST 40）. The rats in the model group underwent daily binding treatment， once a day， continuously 5 days a week， for a total of 4 weeks. Following the intervention， the levels of triglycerides （TG） and free fatty acids （FFA） in liver tissue was determined using ELISA. Serum TG， FFA， fasting insulin （FINS）， alanine transaminase （ALT）， aspartate Transaminase （AST）， tumor necrosis factor-ɑ （TNF-ɑ）and interleukin 6 （IL-6） were also measured. The fasting plasma glucose （FBG） assessed using a glucose meter and the homeostatic model assessment of insulin resistance （HOMA-IR） was calculated. Liver pathology was examined through HE staining and oil red O staining. The expression of hepatic sterol regulator binding protein 1c （SREBP1c）， recombinant fatty acid synthase （FASN） and stearoyl-CoA desaturase 1 （SCD1） were detected through immunofluorescence. The protein expression levels of liver insulin receptor substrate 1 （IRS1） and tyrosine-phosphorylated insulin receptor substrate 1 （p-IRS1-Tyr） were determined via Western blot. ResultsWhen compared to the blank group， the model group of rats exhibited elevated serum and liver tissue levels of TG and FFA， as well as increased serum levels of AST， ALT， TNF-α， IL-6， FBG， FINS， and HOMA-IR （P＜0.05）. HE staining revealed disordered arrangements of liver cells， indicating widespread fatty degeneration. Oil red O staining showed abundant bright red lipid droplets within liver cell cytoplasm， indicating severe lipid accumulation. The average fluorescence intensity of SREBP1c， FASN， and SCD1 in liver tissue significantly increased （P＜0.05）， while p-IRS1-Tyr protein expression levels significantly decreased （P＜0.05）. In comparison to the model group， the EA group of rats showed significantly reduced serum and liver tissue levels of TG and FFA， along with decreased serum levels of AST， ALT， TNF-α， IL-6， FBG， FINS， and HOMA-IR （P＜0.05）. HE staining indicated more regular arrangements of liver cells， and oil red O staining revealed a significant reduction in liver cell lipid droplets， indicating a less severe degree of lipid accumulation. The average fluorescence intensity of SREBP1c， FASN， and SCD1 in liver tissue significantly decreased （P＜0.05）， while p-IRS1-Tyr protein expression levels significantly increased （P＜0.05）， with no significant difference in IRS1 protein expression （P＞0.05）. ConclusionEA at “Fenglong” （ST 40） can significantly decrease serum lipid in HLP rats， improves liver fat accumulation， and also ameliorate insulin resistance. The mechanism may be related to the inhibition of hepatic lipid synthesis molecule expression， reduced serum inflammatory factors， and an increase in insulin substrate receptor phosphorylation levels.

The combination of healthcare and artificial intelligence is an important direction of medical development. The authors summarized the application of artificial intelligence in such fields as diagnosis, treatment, prevention, scientific research, teaching among others. The analysis covers the problems and challenges facing the development of artificial intelligence, and looks forward to the application prospect of artificial intelligence.

With the development of big data, the Internet and information technology, artificial intelligence is gradually being applied to the field of hospital management. The authors used advanced artificial intelligence technology to conduct structured collection and monitor the hospital′s current medical quality data, identifying key points and key events affecting medical quality and safety from the link, and providing medical personnel′s behavior with pre-warning, process monitoring and post-evaluation to improve hospital medical quality management.