The UCL-Moorfields team have developed a deep learning AI model to screen for ROP, which was trained on a sample of 7,414 images of the eyes of 1,370 newborns who had been admitted to the Homerton Hospital, London, and assessed for ROP by ophthalmologists.
The team developed a deep learning AI model that can identify which at-risk infants have ROP that may lead to blindness if left untreated, and they hope their technique could improve access to screening in the many areas with limited neonatal services and few trained ophthalmologists.
An international team of scientists and clinicians in the UK, Brazil, Egypt and the US have developed a deep learning AI model that can identify which at-risk infants have ROP that may lead to.
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