@article{IR,
      author = {Oh, Minn and Coyner, Aaron S. and Shah, Parag K. and  Singh, Praveer and Kalpathy-Cramer, Jayashree and Chan,  Paul and Campbell, J. Peter},
      url = {http://digitalcollections.ohsu.edu/record/9643},
      title = {Evaluation of artificial intelligence-based retinopathy of  prematurity screening in South India},
      publisher = {Oregon Health and Science University},
      abstract = {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).},
      number = {IR},
      doi = {https://doi.org/10.6083/mp48sd416},
      recid = {9643},
      address = {2022-04-22},
}