Artificial Intelligence in Retinopathy of Prematurity Diagnosis

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Telemedical retinopathy of prematurity diagnosis: accuracy, reliability, and image quality.

OBJECTIVE To prospectively measure accuracy, reliability, and image quality of telemedical retinopathy of prematurity (ROP) diagnosis. METHODS Two-hundred forty-eight eyes from 67 consecutive infants underwent wide-angle retinal imaging by a trained neonatal nurse at 31 to 33 weeks' and/or 35 to 37 weeks' postmenstrual age (PMA) using a standard protocol. Data were uploaded to a Web-based tel...

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Retinopathy of Prematurity

The incidence of ROP varies with birth weight but it has been reported to be approximately 50-70% in infants whose weight is less than 1250g at birth. The more premature the infant, the more likely ROP is to develop [1]. Furthermore, an observational study from United Kingdom found that the birth weight of infants from highly developed countries was 737-763g compared with 903-1527g in less-deve...

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Classifying retinopathy of prematurity

It is important to classify retinopathy of prematurity (ROP) in each eye, at each screening session. Doing so makes it possible to screen babies consistently and to make decisions about whether further screening is required and when, or whether laser treatment or surgical management is needed. The International Committee for the Classification of ROP1 has classified it using the following crite...

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Retinopathy of prematurity.

With improved survival of very low birth infants in India, Retinopathy of Prematurity (ROP) is emerging as a significant problem. The most important risk factor in the pathogenesis of ROP is prematurity. Other factors like, problems with oxygenation frequent blood transfusions, sepsis and apnea have also been implicated in the causation of ROP. Essentially asymptomatic in the initial stages, a ...

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ژورنال

عنوان ژورنال: Translational Vision Science & Technology

سال: 2020

ISSN: 2164-2591

DOI: 10.1167/tvst.9.2.5