From Development to Application: Bridging the Translational Gap of Artificial Intelligence-based Diagnostics for Childhood Cataract

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From Development to Application: Bridging the Translational Gap of Artificial Intelligence-based Diagnostics for Childhood Cataract is …
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scholarly articleQ13442814

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P356DOI10.1016/J.ECLINM.2019.03.002
P932PMC publication ID6510718
P698PubMed publication ID31143875

P50authorAmeenat Lola SoleboQ40968851
P2093author name stringAmeenat Lola Solebo
P2860cites workDermatologist-level classification of skin cancer with deep neural networksQ28528865
Epidemiology of blindness in childrenQ30234585
Global prevalence of childhood cataract: a systematic reviewQ30248519
Comparison of smartphone ophthalmoscopy with slit-lamp biomicroscopy for grading diabetic retinopathyQ33442159
Global challenges in the management of congenital cataract: proceedings of the 4th International Congenital Cataract Symposium held on March 7, 2014, New York, New YorkQ35580553
Artificial intelligence and deep learning in ophthalmologyQ58553410
5-year outcomes after primary intraocular lens implantation in children aged 2 years or younger with congenital or infantile cataract: findings from the IoLunder2 prospective inception cohort studyQ58593751
P407language of work or nameEnglishQ1860
P921main subjectartificial intelligenceQ11660
eye diseaseQ3041498
Childhood cataractQ18387306
P304page(s)7-8
P577publication date2019-03-09
P1433published inEClinicalMedicineQ67184894
P1476titleFrom Development to Application: Bridging the Translational Gap of Artificial Intelligence-based Diagnostics for Childhood Cataract
P478volume9

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