The application of artificial intelligence(AI)in the medical field, particularly for predicting, diagnosing and treating retinal detachment(RD), has made remarkable achievements. This paper reviews the advancements in AI applications for RD across multiple dimensions, including predicting RD incidence, assessing surgical success rates, forecasting postoperative visual outcomes, and evaluating recurrence rates. In diagnostic support, AI technology has demonstrated significant value, especially in ophthalmic imaging, with applications in the intelligent analysis of ultra-wide-angle fundus photography, optical coherence tomography(OCT), ophthalmologic ultrasound images, and AI chatbots models. Furthermore, AI has proven uniquely beneficial in surgical decision-making, robotic-assisted surgical systems, and the assessment of surgical complications. This paper provides a comprehensive overview of the current state of AI applications in RD, underscoring its potential to address numerous challenges in clinical practice. It also explores existing limitations and offers insights into future directions for development in this field.

The application of artificial intelligence(AI)in the medical field, particularly for predicting, diagnosing and treating retinal detachment(RD), has made remarkable achievements. This paper reviews the advancements in AI applications for RD across multiple dimensions, including predicting RD incidence, assessing surgical success rates, forecasting postoperative visual outcomes, and evaluating recurrence rates. In diagnostic support, AI technology has demonstrated significant value, especially in ophthalmic imaging, with applications in the intelligent analysis of ultra-wide-angle fundus photography, optical coherence tomography(OCT), ophthalmologic ultrasound images, and AI chatbots models. Furthermore, AI has proven uniquely beneficial in surgical decision-making, robotic-assisted surgical systems, and the assessment of surgical complications. This paper provides a comprehensive overview of the current state of AI applications in RD, underscoring its potential to address numerous challenges in clinical practice. It also explores existing limitations and offers insights into future directions for development in this field.

Objective:To study clinical outcomes, genetic etiology, efficacy and safety of continuous renal replacement therapy (CRRT) for neonatal hyperammonemia.Methods:From September 2016 to June 2023, neonates with hyperammonemia receiving CRRT in NICU of our hospital were retrospectively analyzed. Their perinatal conditions, clinical manifestations, laboratory results, genetic tests, treatments and outcomes were collected. The patients were assigned into survival group and death group according to their conditions at discharge. SPSS 22.0 statistical software was used to analyze the differences between the two groups.Results:A total of 10 patients were enrolled, including 8 males and 2 females. The gestational age was 39.3(38.2,39.8)weeks and birth weight 3 300(3 050, 3 583) g. The age of onset was 2.0(2.0, 4.3) d. The main clinical manifestations included seizures, coma and high blood ammonia level (up to 586-1 250 μmol/L). The patients received CRRT at 3.0(2.0, 8.3) d of age and CRRT lasted for 20.5(16.5, 42.8) h. Before CRRT, average time of coma was 10.0(3.5, 12.8) h and the total duration of coma was 20.5(12.5, 29.0) h. After CRRT, blood ammonia decreased (52.6±22.2) μmol/L every hour for 6 h. The genetic tests showed ornithine transcarbamylase deficiency in 5 cases, methylmalonic acidemia in 2 cases, propionic acidemia in 1 case, carnitine acylcarnitine translocase deficiency in 1 case and transient hyperammonemia in 1 case. 6 patients survived. 4 patients died at discharge, including 2 withdrawal treatment. The duration of coma before CRRT and the total duration of coma in the death group were significantly longer than the survival group ( P<0.05). Conclusions:Inborn metabolic error are common causes of neonatal hyperammonemia. Timely CRRT can safely and effectively reduce blood ammonia levels and may improve clinical outcomes.

Objective: To analyze the current situation, influencing factors and mechanism of knowledge-attitude-practice(KAP) regarding acquired immune deficiency syndrome(AIDS)/sexually transmitted diseases(STDs) among migrant workers in Chengdu's main urban area, so as to provide a basis for the development of effective prevention and control policies for this group. Methods: Convenience sampling and systematic sampling were used to collect demographic information and data on knowledge, attitudes, and sexual behavior characteristics of AIDS/STDs of the participants. The collected data were organized and statistically analyzed by EpiData 3.1 and SPSS 26.0 software. Additionally, a KAP path analysis model was constructed by using AMOS 24.0 software. Results: A total of 257 valid questionnaires were obtained. The AIDS awareness rate was 55.6%, with a mean scores of(5.59±1.61). The awareness rate of STDs was 37.4%, with a mean scores of(9.05±3.00). Discrimination attitudes towards AIDS and STDs were reported by 58 participants(22.6%) and 44 participants(17.1%) respectively. The prevalence of high-risk sexual behavior was 3.50%. Men(OR=0.500, 95%CI: 0.279-0.897) acted as deterrents to knowledge of AIDS. On the other hand, childlessness facilitated discrimination against AIDS(OR=2.748, 95%CI: 1.385-5.451) and STDs(OR=2.287, 95%CI: 1.084-4.825). There was lower likelihood of engaging in high-risk sexual behavior among migrant workers in Chengdu's main urban area who were older(OR=0.854, 95%CI: 0.785-0.929). The occurrence of high-risk sexual behaviors was influenced both directly and indirectly by attitudes towards AIDS and related knowledge. There was a positive correlation between knowledge about AIDS and STDs and attitudes towards them(r=0.15,0.24, bothP<0.05), as well as between attitudes towards AIDS and attitudes towards STDs(r=0.57,P<0.05). That is, the higher the scores of knowledge, the less likely one was to hold discrimination attitudes. Therefore, increasing the rate of knowledge awareness could reduce discrimination towards AIDS/STDs and the occurrence of high-risk sexual behaviors. Conclusion The level of AIDS/STDs knowledge among the migrant workers in Chengdu′s main urban area is concerning. Innovative interventions should be intensified in key areas and populations.

In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.

In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.

In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.

In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.

Objective To explore the prognostic factors of new-onset diabetes mellitus(NODM)in patients with pancreatic cystic tumor after distal pancreatectomy(DP).Methods Between January 2010 and December 2019,92 patients with cystic pancreatic tumors in our hospital underwent laparoscopic DP.According to the inclusion and exclusion criteria,a total of 74 cases were included and divided into NODM group or normal glucose metabolism group based on whether postoperative NODM occurred.A univariate analysis was used to evaluate the prognostic factors of laparoscopic DP for pancreatic cystic tumors.P<0.05 was considered statistically significant,OR>4 was considered as a potential prognostic factor of clinical significance for NODM.Results NODM was diagnosed in26 cases(35.1%),with a median diagnosis time of 9 months(range,3-56 months)after surgery.Univariate analysis showed that transecting pancreas in the neck(OR = 11.000,P = 0.000),BMI≥25.0(OR = 4.333,P = 0.007),and family history of diabetes mellitus(OR =5.000,P =0.004)were prognostic factors of postoperative NODM.Conclusions When performing DP for pancreatic cystic tumors,it is advisable to preserve as much pancreatic tissue as possible and avoid cutting off the pancreas in the neck.Precise postoperative strategy of glucose metabolism surveillance for patients with BMI≥25.0 and family history of diabetes mellitus should be promoted.

OBJECTIVE To provide reference for strengthening the standardized management of off-label drug use in cancer hospitals. METHODS The evaluation system for off-label drug use was established to standardize the application， approval， and filing process for off-label drug use in our hospital. The changes in off-label drug application quantity， proportion， disease category and drug category in our hospital were compared before （October 1st， 2021-September 30th， 2022） and after （October 1st， 2022- September 30th， 2023） the establishment of the evaluation system； drug items supported by high-level evidence screened by pharmacy department were analyzed statistically. RESULTS The number of off-label drug use applications in our hospital had gradually increased， from 306 pieces in the fourth quarter of 2021 to 3 828 pieces in the third quarter of 2023. In the year before the construction of the evaluation system， there were a total of 4 482 applications for off-label drug use， and in the year after the construction of the evaluation system， there were 11 840 applications for off-label drug use. After the construction of the evaluation system， the proportion of unregistered off-label drug use significantly decreased， compared to the same period last year （P＜0.05）. Among them， there were no unregistered applications for off-label drug use for digestive system tumors， head and neck tumors， and radioactive drugs； lymphoma， breast tumors，urogenital system tumors， cytotoxic drugs and new anti-tumor drugs all had a decrease of over 70% in unregistered off-label drug applications. Twenty-seven off-label drug use items related to 19 drugs supported by high-level evidence were screened by the pharmacy department of our hospital， among which 25 items were drug use beyond indication. CONCLUSIONS The establishment of off-label drug use evaluation system in cancer hospital is helpful to the rational use and refined management of clinical anti-tumor drugs.