Retinopathy of prematurity (ROP) is a leading cause of childhood visual loss worldwide, and the social burdens of infancy-acquired blindness are enormous. Early diagnosis is critically important for successful treatment, and can prevent most cases of blindness. However, lack of access to expert medical diagnosis and care, especially in rural areas, remains a growing healthcare challenge. In addition, clinical expertise in ROP is lacking, and medical professionals are struggling to meet the increasing need for ROP care. As point-of-care technologies for diagnosis and intervention are rapidly expanding, the potential ability to assess ROP severity from any location with an internet connection and a camera, even without immediate ophthalmologic consultation available, could significantly improve delivery of ROP care by identifying infants who are in most urgent need for referral and treatment. This would dramatically reduce the incidence of blindness without a proportionate increase in the need for human resources, which take many years to develop.
Project Website: i-rop.github.io
Principal Investigators: Jayashree-Kalpathy Cramer (HMS-MGH), Stratis Ioannidis (DNAL), Jennifer Dy (ML), Deniz Erdogmus (CSL), Michael Chiang (OHSU), Kemal Sonmez (OHSU), J. Peter Campbell (OHSU), R.V. Paul Chan (UIC).
Funding: National Institutes of Health (R01EY019474, P30EY10572), National Science Foundation (SCH-1622542; SCH-1622536; SCH-1622679).