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.

Background Blue light, as an occupational hazard, is widely present in welding and related work environments. However, China's occupational health standard system has not yet established any limit for blue light exposure in welding work environments. Objective To study and propose blue light exposure limits in welding operation environments, and provide a reference for evaluation of blue light hazard and maximum allowable exposure time in welding operations. Methods A function between retinal irradiance and welding arc radiance was introduced by studying arc light and blue light radiation generated in welding operation environments, analyzing the incoherent light radiation protection guidelines issued by the International Commission on Non-Ionizing Radiation Protection (ICNIRP), and combined with factors such as the size of arc light in welding operations, the distance between the welder's eyes and the arc light, and the diameter of the human eye pupil, as well as the geometric optics principle of human eye imaging and the conservation of energy. Then, the radiance limit (100 W·m⁻²·Sr⁻¹) issued by ICNIRP was input into the above function to calculate the blue light irradiance exposure limit in the welding operation environments. Results The blue light irradiance exposure limit in the welding operation environments (\begin{document}$ {E}_{{\rm{B}}}^{{\rm{EL}}} $\end{document}) was 3 W·m⁻². Considering the high repeatability of welding operations, the exposure limit for blue light radiant exposure (\begin{document}$ {H}_{{\rm{B}}}^{{\rm{EL}}} $\end{document}) was 60 J·m⁻². According to the definitions of radiant exposure and irradiance, the maximum allowable exposure time within one working day was calculated according to the formula \begin{document}$ {t}_{\mathrm{m}\mathrm{a}\mathrm{x}}={H}_{{\rm{B}}}^{{\rm{EL}}}{/E}_{{\rm{B}}} $\end{document}, in which \begin{document}$ {E}_{{\rm{B}}} $\end{document} was the measured blue light irradiance in a welding environment. Conclusion Exposure limits of radiant exposure for blue light are proposed to provide important references for evaluating the hazards and maximum allowable exposure time of blue light in welding operations, and for future development of occupational exposure limit standards for blue light in China.

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.

Glucocorticoid-induced ocular hypertension(GIOH)is a condition characterized by elevated intraocular pressure caused by glucocorticoids. The long-term presence of GIOH may lead to optic nerve damage and visual field defects, eventually progressing to glucocorticoid-induced glaucoma(GIG), which can potentially cause blindness. Glucocorticoids primarily exert their biological effects by mediating glucocorticoid receptor(GR), while also involving factors such as transforming growth factor(TGF)-β, Wnt, and Rho in the formation of GIOH. In-depth exploration of the pathological changes and related molecular mechanisms of the trabecular meshwork in GIOH provides an important theoretical basis for understanding the pathogenesis and treatment of GIOH. Therefore, this article provides a review of the pathological changes and molecular mechanisms of the trabecular meshwork in GIOH, aiming to provide a theoretical basis for further research on the pathological mechanisms and treatment of GIOH.

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.

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.