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.