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ABSTRACT BACKGROUND: Artificial intelligence (AI) deals with development of algorithms that seek to perceive one's environment and perform actions that maximize one's chance of successfully reaching one's predetermined goals. OBJECTIVE: To provide an overview of the basic principles of AI and its main studies in the fields of glaucoma, retinopathy of prematurity, age-related macular degeneration and diabetic retinopathy. From this perspective, the limitations and potential challenges that have accompanied the implementation and development of this new technology within ophthalmology are presented. DESIGN AND SETTING: Narrative review developed by a research group at the Universidade Federal de São Paulo (UNIFESP), São Paulo (SP), Brazil. METHODS: We searched the literature on the main applications of AI within ophthalmology, using the keywords "artificial intelligence", "diabetic retinopathy", "macular degeneration age-related", "glaucoma" and "retinopathy of prematurity," covering the period from January 1, 2007, to May 3, 2021. We used the MEDLINE database (via PubMed) and the LILACS database (via Virtual Health Library) to identify relevant articles. RESULTS: We retrieved 457 references, of which 47 were considered eligible for intensive review and critical analysis. CONCLUSION: Use of technology, as embodied in AI algorithms, is a way of providing an increasingly accurate service and enhancing scientific research. This forms a source of complement and innovation in relation to the daily skills of ophthalmologists. Thus, AI adds technology to human expertise.
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ABSTRACT Objective To assess the prevalence of ophthalmologic manifestations in newborns in a maternity hospital in the city of São Paulo, SP, and the main risk factors related with the development of retinopathy of prematurity. Methods A retrospective, longitudinal study with patients born from 2015 to 2017 who required ophthalmological evaluation. The research variables were obtained by analysis of the newborn medical charts. Results A total of 773 patients were studied. The sample consisted of 288 examinations performed by indication of gestational age ≤32 weeks: 118 (42.4%) in 2015, 105 (42.2%) in 2016, 65 (26.4%) cases in 2017. There were 329 evaluations indicated due to birth weight: 113 (40.6%) in 2015, 108 (43.4%) in 2016, and 108 (43.9%) in 2017. The prevalence of associated risk factors was 97 (34.9%) cases in 2015, 96 (38.6%) in 2016, and 54 (22%) in 2017, followed by mechanical ventilation with 82 (29.5%) cases in 2015, 64 (25.7%) in 2016 and 41 (16.7%) in 2017, and continuous positive airway pressure with 59 (21.2%) cases in 2015, 72 (28.9%) in 2016, and 46 (18.7%) in 2017. For the other indications, the evaluations performed due to congenital syphilis were the majority in the 3-year period of the study, with 55 (19.8%) newborns in 2015, 54 (21.7%) in 2016, and 59 (24.0%) in 2017. The most prevalent ophthalmologic diagnosis was retinopathy of prematurity, with 79 (35.3%) cases in 2015, 64 (32.2%) in 2016, and 41 (24.1%) in 2017. Conclusion Most neonates born in the organization do not present risk factors for ophthalmological manifestations. Retinopathy of prematurity was the disease with greater strength of association found in our study. For the other indications, the evaluations performed due to congenital syphilis prevail in the 3- year period of the study.
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ABSTRACT It is part of the omic sciences to search for an understanding of how the cellular system of organisms works as well as studying their biological changes. As part of the omic sciences, we can highlight the genomics whose function is the study of genes, the transcriptomics that studies the changes in the transcripts, the proteomics responsible for understanding the changes that occur in proteins, and the metabolomics that studies all the metabolic changes that occur in a certain system when it is submitted to different types of stimuli. Metabolomics is the science that studies the endogenous and exogenous metabolites in biological systems, which aims to provide comparative quantitative or semi-quantitative information about all metabolites in the system. This review aims to describe the main applications of metabolomics science in ophthalmolog. We searched the literature on main applications of metabolomics science in ophthalmology, using the MEDLINE and LILACS databases, with the keywords "metabolomics" and "ophthalmology", from January 1, 2009, to April 5, 2021. We retrieved 216 references, of which 58 were considered eligible for intensive review and critical analysis. The study of the metabolome allows a better understanding of the metabolism of ocular tissues. The results are important to aid diagnosis and as predictors of the progression of many eye and systemic diseases.
RESUMO Faz parte das ciências ômicas buscar entender como funciona o sistema celular dos organismos e estudar suas alterações biológicas. Como parte das ciências ômicas, destacam-se a genômica, cuja função é o estudo dos genes; a transcriptômica, que estuda as mudanças nos transcritos; a proteômica, responsável por entender as mudanças que ocorrem nas proteínas, e a metabolômica, que estuda todo o metabolismo das alterações que ocorrem em um determinado sistema quando ele é submetido a diferentes tipos de estímulos. A metabolômica é a ciência que estuda os metabólitos endógenos e exógenos em sistemas biológicos, visando fornecer informações comparativas quantitativas ou semiquantitativas sobre todos os metabólitos do sistema. Esta revisão teve como objetivo descrever as principais aplicações da ciência metabolômica na oftalmologia. Trata-se de revisão narrativa desenvolvida por um grupo de pesquisa da Universidade Federal de São Paulo, em São Paulo (SP). Buscaram-se, na literatura, as principais aplicações da ciência metabolômica em oftalmologia, utilizando as bases de dados Medline® e Lilacs, com as palavras-chave "metabolomics" e "oftalmologia", de 1º de janeiro de 2009 a 5 de abril de 2021. Foram recuperadas 216 referências, das quais 58 foram consideradas elegíveis para revisão intensiva e análise crítica. O estudo do metaboloma permite um melhor entendimento do metabolismo dos tecidos oculares. Os resultados são importantes para auxiliar no diagnóstico e como preditores da progressão de muitas doenças oculares e sistêmicas.