Systematic bibliometric and visualized analysis of research hotspots and trends on the application of artificial intelligence in diabetic retinopathy.

Background: Artificial intelligence (AI), which has been used to diagnose diabetic retinopathy (DR), may impact future medical and ophthalmic practices. Therefore, this study explored AI's general applications and research frontiers in the detection and gradation of DR.

Methods: Citation data were obtained from the Web of Science Core Collection database (WoSCC) to assess the application of AI in diagnosing DR in the literature published from January 1, 2012, to June 30, 2022.

LncRNA PLCD3-OT1 Functions as a CeRNA to Prevent Age-Related Cataract by Sponging miR-224-5p and Regulating PLCD3 Expression.

Purpose: Long noncoding RNAs (lncRNAs) are important in disease progression and cellular functions. This study aimed to conduct global lncRNA profiling and characterize the role of lncRNA 1-phosphatidylinositol-4,5-bisphosphate phosphodiesterase delta 3-sence RNA 1 (PLCD3-OT1) in the progression of age-related cataract (ARC).

Methods: We performed lncRNA expression profiling of lens capsule from ARC groups and age-matched groups using high-throughput RNA-sequencing.