TY  - GEN
N2  - An estimated one in ten babies, 15 million worldwide, are born prematurely each year - prematurity being a significant risk factor for the development of retinopathy of prematurity (ROP), a potentially-blinding disorder of the retinal vasculature. Despite the existence of known risk factors and many effective treatment options, ROP remains one of the world's leading causes of childhood blindness. This is primarily due to a combination of the scarcity of ROP experts and advances in neonatal intensive care units, which have increased the survival rate of younger, smaller infants and, consequently, the incidence and prevalence of ROP.
DO  - 10.6083/1g05fc41f
DO  - DOI
AB  - An estimated one in ten babies, 15 million worldwide, are born prematurely each year - prematurity being a significant risk factor for the development of retinopathy of prematurity (ROP), a potentially-blinding disorder of the retinal vasculature. Despite the existence of known risk factors and many effective treatment options, ROP remains one of the world's leading causes of childhood blindness. This is primarily due to a combination of the scarcity of ROP experts and advances in neonatal intensive care units, which have increased the survival rate of younger, smaller infants and, consequently, the incidence and prevalence of ROP.
T1  - Machine learning for disease detection and prediction in retinopathy of prematurity
DA  - 2021
AU  - Coyner, Aaron S.
L1  - https://digitalcollections.ohsu.edu/record/8827/files/Coyner.Aaron.2021.pdf
PB  - Oregon Health and Science University
PY  - 2021
ID  - 8827
L4  - https://digitalcollections.ohsu.edu/record/8827/files/Coyner.Aaron.2021.pdf
KW  - Ophthalmology
KW  - Retinopathy of Prematurity
KW  - Artificial Intelligence
KW  - Machine Learning
KW  - Deep Learning
KW  - Telemedicine
TI  - Machine learning for disease detection and prediction in retinopathy of prematurity
Y1  - 2021
L2  - https://digitalcollections.ohsu.edu/record/8827/files/Coyner.Aaron.2021.pdf
LK  - https://digitalcollections.ohsu.edu/record/8827/files/Coyner.Aaron.2021.pdf
UR  - https://digitalcollections.ohsu.edu/record/8827/files/Coyner.Aaron.2021.pdf
ER  -