Artificial Intelligence (AI) algorithms have demonstrated efficacy in detecting severe ROP. Recent work using the Imaging and Informatics in ROP (i-ROP) deep learning (DL) system demonstrated high diagnostic accuracy compared to a reference standard diagnosis of plus disease in an Indian ROP telemedicine program. There remains a gap in knowledge as to how the i-ROP DL algorithm would work as an autonomous screening device against the clinical diagnosis of treatment-requiring (TR) ROP. The purpose of our study is to evaluate the i-ROP DL algorithm as an autonomous screening device in an Indian ROP telemedicine program at Aravind Eye Hospital (AEH).
Details
Title
Evaluation of artificial intelligence-based retinopathy of prematurity screening in South India
Creator
Oh, Minn : Oregon Health and Science University Coyner, Aaron S. : Oregon Health and Science University Shah, Parag K. : Oregon Health and Science University Singh, Praveer : Oregon Health and Science University Kalpathy-Cramer, Jayashree : Oregon Health and Science University Chan, Paul : Oregon Health and Science University Campbell, J. Peter : Oregon Health and Science University
Meeting Name
Research Week, Oregon Health and Science University, 2022