Current and future roles of artificial intelligence in retinopathy of prematurity

arXiv:2402.09975v1 Announce Type: cross
Abstract: Retinopathy of prematurity (ROP) is a severe condition affecting premature infants, leading to abnormal retinal blood vessel growth, retinal detachment, and potential blindness. While semi-automated systems have been used in the past to diagnose ROP-related plus disease by quantifying retinal vessel features, traditional machine learning (ML) models face challenges like accuracy and overfitting. Recent advancements in deep learning (DL), especially convolutional neural networks (CNNs), have significantly improved ROP detection and classification. The i-ROP deep learning …

abstract artificial artificial intelligence arxiv automated blindness cs.cv current disease eess.iv features future growth intelligence machine roles systems type