Stapleton F. The epidemiology of infectious keratitis. Ocul Surf. 2023;28:351\u201363.<\/p>\n
Article<\/a>\u00a0 Ting DSJ, Ho CS, Deshmukh R, Said DG, Dua HS. Infectious keratitis: an update on epidemiology, causative microorganisms, risk factors, and antimicrobial resistance. Eye Lond Engl. 2021;35:1084\u2013101.<\/p>\n Walker DH. Principles of diagnosis of infectious diseases. In: McManus LM, Mitchell RN, editors. Pathobiology of Human Disease. San Diego: Academic Press; 2014. p. 222\u2013225<\/p>\n Izadi A, Soleimani M, Daie Ghazvini R, Hashemi SJ, Gramishoar M, Ahmadikia K, et al. Clinical and mycological characteristics of keratitis caused by Colletotrichum gloeosporioides: A case report and review of literature. J Infect Dev Ctries. 2021;15:301\u20135.<\/p>\n Article<\/a>\u00a0 Soleimani M, Izadi A, Khodavaisy S, Dos Santos CO, Tehupeiory-Kooreman MC, Ghazvini RD, et al. Fungal keratitis in Iran: Risk factors, clinical features, and mycological profile. Front Cell Infect Microbiol. 2023;13:1094182.<\/p>\n Article<\/a>\u00a0 Izadi A, Soleimani M, dos Santos CO, Tehupeiory-Kooreman MC, Daie Ghazvini R, Hashemi SJ, et al. Fungal keratitis caused by Pseudallescheria boydii: clinical and mycological characteristics. J Ophthalmic Inflamm Infect. 2021;11:30.<\/p>\n Article<\/a>\u00a0 Masoumi A, Soleimani M, Azizkhani M, Izadi A, Cheraqpour K, Tabatabaei SA, et al. Clinical Features, Risk Factors, and Management of Candida Keratitis. Ocul Immunol Inflamm. 2024;32:1169\u201374.<\/p>\n Article<\/a>\u00a0 Gu H, Guo Y, Gu L, Wei A, Xie S, Ye Z, et al. Deep learning for identifying corneal diseases from ocular surface slit-lamp photographs. Sci Rep. 2020;10:17851.<\/p>\n Article<\/a>\u00a0 Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A, et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA. 2016;316:2402\u201310.<\/p>\n Article<\/a>\u00a0 Soleimani M, Esmaili K, Rahdar A, Aminizadeh M, Cheraqpour K, Tabatabaei SA, et al. From the diagnosis of infectious keratitis to discriminating fungal subtypes; a deep learning-based study. Sci Rep. 2023;13:22200.<\/p>\n Article<\/a>\u00a0 Zhang Z, Wang Y, Zhang H, Samusak A, Rao H, Xiao C, et al. Artificial intelligence-assisted diagnosis of ocular surface diseases. Front. Cell Dev. Biol. 2023; 11. Available at: https:\/\/www.frontiersin.org\/journals\/cell-and-develop-mental-biology\/articles\/10.3389\/fcell.2023.1133680\/full<\/a> [Accessed December 13, 2024].<\/p>\n Soleimani M, Cheraqpour K, Sadeghi R, Pezeshgi S, Koganti R, Djalilian AR. Artificial Intelligence and Infectious Keratitis: Where Are We Now? Life Basel Switz. 2023;13:2117.<\/p>\n Redd TK, Prajna NV, Srinivasan M, Lalitha P, Krishnan T, Rajaraman R, et al. Image-Based Differentiation of Bacterial and Fungal Keratitis Using Deep Convolutional Neural Networks. Ophthalmol Sci. 2022;2:100119.<\/p>\n Article<\/a>\u00a0 Kuo M-T, Hsu BW-Y, Yin Y-K, Fang P-C, Lai H-Y, Chen A, et al. A deep learning approach in diagnosing fungal keratitis based on corneal photographs. Sci Rep. 2020;10:14424.<\/p>\n Article<\/a>\u00a0 Koyama A, Miyazaki D, Nakagawa Y, Ayatsuka Y, Miyake H, Ehara F, et al. Determination of probability of causa-tive pathogen in infectious keratitis using deep learning algorithm of slit-lamp images. Sci Rep. 2021;11:22642.<\/p>\n Article<\/a>\u00a0 Xu Y, Kong M, Xie W, Duan R, Fang Z, Lin Y, et al. Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis. Engineering. 2021;7:1002\u201310.<\/p>\n Article<\/a>\u00a0 Zhang Z, Wang H, Wang S, Wei Z, Zhang Y, Wang Z, et al. Deep learning-based classification of infectious keratitis on slit-lamp images. Ther Adv Chronic Dis. 2022; 13: 20406223221136071.<\/p>\n","protected":false},"excerpt":{"rendered":"Stapleton F. The epidemiology of infectious keratitis. 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