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 investigate the nutritional quality characteristics of vitamin D3-fortified yogurt and explore its improving effect on vitamin D metabolism in the body under simulated weightlessness,thereby providing a theoretical basis for the development of functional foods.Methods Using reconstituted milk as the matrix and Vitamin D3(VD3)microcapsule powder as the fortifier,VD3-fortified yogurt was prepared.A systematic study was conducted to investigate the effects of different gradients(1.25 μg/100 mL,2.50 μg/100 mL,3.75 μg/100 mL,5.00 μg/100 mL,6.25 μg/100 mL)of VD3 microcapsule addition on its quality characteristics(titratable acidity,solid content,water-holding capacity,syneresis).In vivo assessments were conducted using a Sprague-Dawley(SD)rat tail-suspension model to simulate weightlessness.Levels in serum 25(OH)D3,1,25-(OH)2D3,calcium(Ca),and phosphorus(P)were detected using the enzyme-linked immunosorbent assay(ELISA)to evaluate its metabolic capacity.Results During fermentation(3 h),titratable acidity of VD?-fortified yogurt initially increased,then decreased,and eventually stabilized with rising microcapsule dosage,while total solid content remained consistent.WHC exhibited an initial increase followed by a decline,whereas syneresis showed an inverse trend.At an optimal dosage of 3.75 μg/100 mL,the yogurt displayed a dense and uniform network structure,characterized by non-Newtonian fluid behavior with shear-thinning properties.This formulation demonstrated robust structural stability under high-frequency mechanical stress,alongside desirable textural,flavor,and sensory attributes.Animal experiments revealed that the serum concentrations of 25(OH)D3,1,25-(OH)2D3,calcium,and phosphorus in the vitamin D?-fortified yogurt intervention group were significantly higher than those in the tail-suspended control group(P<0.05).Conclusion VD? microencapsulation technology effectively preserves and enhances the nutritional quality characteristics of yogurt and mitigates vitamin D metabolic dysregulation under simulated weightlessness.

Exosomes are nanoscale extracellular vesicle structures that communicate and exchange information between cells. They carry a variety of biologically active molecules whose compositions and contents vary according to the origin and recipient cells. Therefore, exosomes can be used as biomarkers. Neurodegenerative diseases are diseases with hidden onset, so early screening and accurate diagnosis is undoubtedly a reliable guarantee to reduce their mortality and increase the cure rate. Exosomes, as a research hotspot in recent years, have great potential for the diagnosis and treatment of diseases given their transport capacity and contents, and have significant advantages in abundance, stability, diversity and accessibility. The purpose of this paper is to discuss exosomes as potential candidates for early diagnosis of neurodegenerative diseases, and thus to elaborate new fields of their application, with a view to providing a richer perspective for clinical prediction and treatment.

Purpose/Significance To explore the changes,challenges,key application scenarios and future development directions of generative artificial intelligence(AI)represented by ChatGPT in the field of hospital management,and to provide references for the ap-plication of AI natural language processing(NLP)technology in the field of hospital management in China.Method/Process Through literature review and analysis,the changes and challenges brought about by the rapid development of generative AI in the field of hospital management are sorted out,its key application scenarios and future development directions in the field of hospital management are empha-sized and explored.Result/Conclusion AI has broad application prospects in the field of hospital management,and it should focus on exploring its practical application scenarios and strategic directions to provide reference and guidance for promoting the high-quality de-velopment of public hospitals.

Objective To explore the influnce on the endothelin-1 (ET-1) and clinical application value of continuous blood purification (CBP) on the treatment of severe craniocerebral injury with the neurogenic pulmonary edema (NPE).Methods All data about sixty patients with NPE were prospectively studied.These 60 patients were randomly (random number) divided into control group (n =30) and treatment group (n =30).In control group,patients were rapidly given with lowering intracranial pressure,mechanical ventilation,calming,antibiotic therapy and so on.In the treatment group,patients received CBP integrated with routine treatment.On admission and 72 h posttreatment,ET-1,static lung compliance and oxygenation index were observed.Time of mechanical ventilation support,incidence rates of multipal organ dysfunction syndrome (MODS) were compared between two groups.The paired t-test was used for the amount data within the group.Chi-square was used for the constitute ratio and incidence ratio of the each relevant information.P ＜ 0.05 was considered statistically significant.Results Compared to the control group,the level of ET-1 was decreased significantly in the treatment group [(48 ± 10) ng/L vs.(85 ± 14) ng/L] after 72 h post-treatment,while static lung compliance [(60.9 ± 2.3) mL/cmH2O vs.(31.4 ±4.8) mL/cmH2O] and oxygenation index [(317 ± 11) mmHg vs.(192 ± 14) mmHg] increased significantly (P ＜ 0.05).In treatment group and control group,the time of respirator intervention were [(6.0 ± 2.1) d vs.(11 ± 3.2) d],and the statistical significance was shown (P ＜ 0.05).Compared to the control group [56.7％ (17/30)],incidence rate of MODS [20.0％ (6/30)] was lower in treatment group (P ＜ 0.05).Conclusions CBP combined with routine treatment,which can remove ET-1 effectively,improve oxygenation,reduce the time of mechanical ventilation support and incidence rate of MODS.