Chiang MF, Quinn GE, Fielder AR, Ostmo SR, Paul Chan RV, Berrocal A, et al. International Classification of Retinopathy of Prematurity, Third Edition. Ophthalmology. 2021;128(10):e51–68. https://doi.org/10.1016/j.ophtha.2021.05.031.
Shields JA, Shields CL, Honavar SG, Demirci H. Clinical variations and complications of Coats disease in 150 cases: the 2000 Sanford Gifford Memorial Lecture. Am J Ophthalmol. 2001;131(5):561–71. https://doi.org/10.1016/s0002-9394(00)00883-7.
Article CAS PubMed Google Scholar
Spitznas M, Joussen F, Wessing A, Meyer-Schwickerath G. Coat’s disease. An epidemiologic and Fluorescein angiographic study. Albrecht Von Graefes Arch Klin Exp Ophthalmol. 1975;195(4):241–50. https://doi.org/10.1007/BF00414937.
Article CAS PubMed Google Scholar
Rao R, Honavar SG. Retinoblastoma. Indian J Pediatr. 2017;84(12):937–44. https://doi.org/10.1007/s12098-017-2395-0.
Pagon RA. Retinitis pigmentosa. Surv Ophthalmol. 1988;33(3):137–77. https://doi.org/10.1016/0039-6257(88)90085-9.
Article MathSciNet CAS PubMed Google Scholar
Giles K, Raoul C, Yannick B, Peter W. Uveal coloboma: about 3 cases at the University Teaching Hospital, Yaounde, Cameroon. Pan Afr Med J. 2016;24:201. https://doi.org/10.11604/pamj.2016.24.201.9770.
Article PubMed PubMed Central Google Scholar
Nishina S, Suzuki Y, Yokoi T, Kobayashi Y, Noda E, Azuma N. Clinical features of congenital retinal folds. Am J Ophthalmol. 2012;153(1):81-7 e1. https://doi.org/10.1016/j.ajo.2011.06.002.
Liche F, Majji AB. Familial exudative vitreoretinopathy. Ophthalmology. 2012;119(5):1093. https://doi.org/10.1016/j.ophtha.2012.02.025.
Fielder A, Blencowe H, O’Connor A, Gilbert C. Impact of retinopathy of prematurity on ocular structures and visual functions. Arch Dis Child Fetal Neonatal Ed. 2015;100(2):F179–84. https://doi.org/10.1136/archdischild-2014-306207.
Golubnitschaja O, Costigliola V, Epma. General report & recommendations in predictive, preventive and personalised medicine 2012: white paper of the European Association for Predictive, Preventive and Personalised Medicine. EPMA J. 2012;3(1):14. https://doi.org/10.1186/1878-5085-3-14.
Article PubMed PubMed Central Google Scholar
Good WV. Retinopathy of Prematurity Incidence in Children. Ophthalmology. 2020;127(4S):S82–3. https://doi.org/10.1016/j.ophtha.2019.11.026.
Dimaras H, Corson TW, Cobrinik D, White A, Zhao J, Munier FL, et al. Retinoblastoma. Nat Rev Dis Primers. 2015;1:15021. https://doi.org/10.1038/nrdp.2015.21.
Article PubMed PubMed Central Google Scholar
Global Retinoblastoma Study G, Fabian ID, Abdallah E, Abdullahi SU, Abdulqader RA, Adamou Boubacar S, et al. Global Retinoblastoma Presentation and Analysis by National Income Level. JAMA Oncol. 2020;6(5):685–95. https://doi.org/10.1001/jamaoncol.2019.6716.
Chen HY, Lehmann OJ, Swaroop A. Genetics and therapy for pediatric eye diseases. EBioMedicine. 2021;67:103360. https://doi.org/10.1016/j.ebiom.2021.103360.
Article CAS PubMed PubMed Central Google Scholar
Coleman K, Coleman J, Franco-Penya H, Hamroush F, Murtagh P, Fitzpatrick P, et al. A New Smartphone-Based Optic Nerve Head Biometric for Verification and Change Detection. Transl Vis Sci Technol. 2021;10(8):1. https://doi.org/10.1167/tvst.10.8.1.
Article PubMed PubMed Central Google Scholar
Golubnitschaja O, Potuznik P, Polivka J Jr, Pesta M, Kaverina O, Pieper CC, et al. Ischemic stroke of unclear aetiology: a case-by-case analysis and call for a multi-professional predictive, preventive and personalised approach. EPMA J. 2022;13(4):535–45. https://doi.org/10.1007/s13167-022-00307-z.
Article PubMed PubMed Central Google Scholar
Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44–56. https://doi.org/10.1038/s41591-018-0300-7.
Article CAS PubMed Google Scholar
Baek SU, Lee WJ, Park KH, Choi HJ. Health screening program revealed risk factors associated with development and progression of papillomacular bundle defect. EPMA J. 2021;12(1):41–55. https://doi.org/10.1007/s13167-021-00235-4.
Article PubMed PubMed Central Google Scholar
Li S, Li M, Wu J, Li Y, Han J, Cao W, et al. Development and validation of a routine blood parameters-based model for screening the occurrence of retinal detachment in high myopia in the context of PPPM. EPMA J. 2023;14(2):219–33. https://doi.org/10.1007/s13167-023-00319-3.
Article CAS PubMed PubMed Central Google Scholar
Golub TR, Slonim DK, Tamayo P, Huard C, Gaasenbeek M, Mesirov JP, et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science. 1999;286(5439):531–7. https://doi.org/10.1126/science.286.5439.531.
Article CAS PubMed Google Scholar
Wang Y, Tetko IV, Hall MA, Frank E, Facius A, Mayer KF, et al. Gene selection from microarray data for cancer classification–a machine learning approach. Comput Biol Chem. 2005;29(1):37–46. https://doi.org/10.1016/j.compbiolchem.2004.11.001.
Article CAS PubMed Google Scholar
Yu KH, Levine DA, Zhang H, Chan DW, Zhang Z, Snyder M. Predicting Ovarian Cancer Patients’ Clinical Response to Platinum-Based Chemotherapy by Their Tumor Proteomic Signatures. J Proteome Res. 2016;15(8):2455–65. https://doi.org/10.1021/acs.jproteome.5b01129.
Article CAS PubMed PubMed Central Google Scholar
Yu KH, Fitzpatrick MR, Pappas L, Chan W, Kung J, Snyder M. Omics AnalySIs System for PRecision Oncology (OASISPRO): a web-based omics analysis tool for clinical phenotype prediction. Bioinformatics. 2018;34(2):319–20. https://doi.org/10.1093/bioinformatics/btx572.
Article CAS PubMed Google Scholar
Check Hayden E. The automated lab. Nature. 2014;516(7529):131–2. https://doi.org/10.1038/516131a.
Article ADS CAS PubMed Google Scholar
Chew EY. Age-related Macular Degeneration: Nutrition, Genes and Deep Learning-The LXXVI Edward Jackson Memorial Lecture. Am J Ophthalmol. 2020;217:335–47. https://doi.org/10.1016/j.ajo.2020.05.042.
Article CAS PubMed PubMed Central Google Scholar
Shon K, Sung KR, Shin JW. Can Artificial Intelligence Predict Glaucomatous Visual Field Progression? A Spatial-Ordinal Convolutional Neural Network Model. Am J Ophthalmol. 2022;233:124–34. https://doi.org/10.1016/j.ajo.2021.06.025.
Ee CL, Samsudin A. Comparison of Smartphone-Based and Automated Refraction with Subjective Refraction for Screening of Refractive Errors. Ophthalmic Epidemiol. 2022;29(5):588–94. https://doi.org/10.1080/09286586.2021.1986550.
Dai L, Wu L, Li H, Cai C, Wu Q, Kong H, et al. A deep learning system for detecting diabetic retinopathy across the disease spectrum. Nat Commun. 2021;12(1):3242. https://doi.org/10.1038/s41467-021-23458-5.
Article ADS CAS PubMed PubMed Central Google Scholar
Panwar N, Huang P, Lee J, Keane PA, Chuan TS, Richhariya A, et al. Fundus Photography in the 21st Century–A Review of Recent Technological Advances and Their Implications for Worldwide Healthcare. Telemed J E Health. 2016;22(3):198–208. https://doi.org/10.1089/tmj.2015.0068.
Article PubMed PubMed Central Google Scholar
Zhao J, Lei B, Wu Z, Zhang Y, Li Y, Wang L, et al. A Deep Learning Framework for Identifying Zone I in RetCam Images. IEEE Access. 2019;7:103530–7. https://doi.org/10.1109/access.2019.2930120.
Zhang Y, Wang L, Wu Z, Zeng J, Chen Y, Tian R, et al. Development of an Automated Screening System for Retinopathy of Prematurity Using a Deep Neural Network for Wide-Angle Retinal Images. IEEE Access. 2019;7:10232–41. https://doi.org/10.1109/access.2018.2881042.
Rugang Zhang JZ. Hai Xie, Tianfu Wang, Automatic diagnosis for aggressive posterior retinopathy of prematurity via deep attentive convolutional neural network. Expert Syst Appl. 2022;187:115843.
Maji D, Sekh AA. Automatic grading of retinal blood vessel in deep retinal image diagnosis. J Med Syst. 2020;44(180). https://doi.org/10.1007/s10916-020-01635-1.
Xie HLH, Zeng X, He Y, Chen G. AMD-GAN: attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images. Neural Netw. 2020;132:477–90.
Dong L, He W, Zhang R, Ge Z, Wang YX, Zhou J, et al. Artificial Intelligence for Screening of Multiple Retinal and Optic Nerve Diseases. JAMA Netw Open. 2022;5(5):e229960. https://doi.org/10.1001/jamanetworkopen.2022.9960.
Comments (0)