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2. Contributors

4. Oxygenation Fluctuations Associated with Severe Retinopathy of Prematurity

5. Discrepancies in Diagnosis of Treatment-Requiring Retinopathy of Prematurity

6. Characterization of Errors in Retinopathy of Prematurity Diagnosis by Ophthalmologists-in-Training in Middle-Income Countries

8. Genome-wide association identifies novel ROP risk loci in a multi-ethnic cohort

10. Operationalization of Retinopathy of Prematurity Screening by the Application of the Essential Public Health Services Framework

12. Variability in Plus Disease Diagnosis using Single and Serial Images

15. External Validation of a Retinopathy of Prematurity Screening Model Using Artificial Intelligence in 3 Low- and Middle-Income Populations

16. Federated Learning for Multicenter Collaboration in Ophthalmology

17. Artificial Intelligence for Retinopathy of Prematurity

20. Reply

21. Reply

22. Optometrist's perspectives of Artificial Intelligence in eye care

23. Digital Education in Ophthalmology

25. Single-Examination Risk Prediction of Severe Retinopathy of Prematurity

26. Deepfakes in Ophthalmology

34. Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective

36. Bringing Ophthalmic Graduate Medical Education into the 2020s with Information Technology

37. Applications of Artificial Intelligence for Retinopathy of Prematurity Screening

40. Implementation of COVID-19 Protocols and Tele-Triage in an Academic Ophthalmology Department

42. Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

43. Evaluation of computer-based retinopathy of prematurity (ROP) education for ophthalmology residents: a randomized, controlled, multicenter study

44. Longitudinal Examination of Fellow-Eye Vascular Anomalies in Coats' Disease With Widefield Fluorescein Angiography: A Multicenter Study

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