期刊
DIAGNOSTICS
卷 12, 期 5, 页码 -出版社
MDPI
DOI: 10.3390/diagnostics12051251
关键词
neonatal ophthalmic screening; artificial intelligence; wide-field digital imaging system
资金
- Ministry of Health, Czech Republic-conceptual development of research organization, Motol University Hospital, Prague, Czech Republic
Neonatal ophthalmic screening can lead to early detection of ocular abnormalities, reducing the risk of long-term visual impairment. Wide-field digital imaging techniques have shown good results in detecting anterior and posterior segment pathologies, while telemedicine and artificial intelligence can improve the specificity and sensitivity of screening.
Neonatal ophthalmic screening should lead to early diagnosis of ocular abnormalities to reduce long-term visual impairment in selected diseases. If a treatable pathology is diagnosed within a few days after the birth, adequate therapy may be indicated to facilitate the best possible conditions for further development of visual functions. Traditional neonatal ophthalmic screening uses the red reflex test (RRT). It tests the transmittance of the light through optical media towards the retina and the general disposition of the central part of the retina. However, RRT has weaknesses, especially in posterior segment affections. Wide-field digital imaging techniques have shown promising results in detecting anterior and posterior segment pathologies. Particular attention should be paid to telemedicine and artificial intelligence. These methods can improve the specificity and sensitivity of neonatal eye screening. Both are already highly advanced in diagnosing and monitoring of retinopathy of prematurity.
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