Publications by authors named "Xiu-Lan Hao"
Background: In the development of artificial intelligence in ophthalmology, the ophthalmic AI-related recognition issues are prominent, but there is a lack of research into people's familiarity with and their attitudes toward ophthalmic AI. This survey aims to assess medical workers' and other professional technicians' familiarity with, attitudes toward, and concerns about AI in ophthalmology.
Methods: This is a cross-sectional study design study.
Article Synopsis
- This study addresses the shortage of ophthalmologists in China by proposing a five-category intelligent diagnosis model for common eye diseases like retinal vein occlusion and diabetic retinopathy.
- The research involved collecting and analyzing 2,000 fundus images, training three different models, and achieving over 90% accuracy in diagnosing these conditions.
- The findings will assist primary care doctors in delivering better diagnostic services to ophthalmologic patients, improving patient care overall.
Objective: To study the association between single-nucleotide polymorphism (SNP) of long-chain non-coding RNA steroid receptor RNA activator (lncRNA SRA1) gene and polycystic ovary syndrome (PCOS) susceptibility.
Methods: Sanger sequencing was used to analyze the genotypes of the lncRNA SRA1 gene rs801460, rs10463297, and rs250426 in 315 PCOS patients and 315 control groups.
Results: There was no correlation between lncRNA SRA1 gene rs801460, rs250426 SNP, and PCOS susceptibility (p > 0.
Background: Familial chylomicronemia syndrome (FCS) is a rare autosomal recessive lipid disorder often associated with recurrent episodes of pancreatitis. It is documented in most cases with FCS due to the mutations of key proteins in lipolysis, including LPL, APOC2, APOA5, LMF1 and GPIHBP1.
Case Presentation: We report the successful management of a 35-year-old pregnant woman carrying a novel homozygous frameshift mutation c.