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Daniel Araujo Ferraz

Daniel Araujo Ferraz

Nossa equipe investiga, através de pesquisas com tecnologia e machine leaning, desde o desenvolvimento de algoritmos de IA ate a implementação dessas ferramentas na prática clínica diária. Contando com uma equipe multidisciplinar e utilizando técnicas avançadas, nosso objetivo é estabelecer a relação entre esses algoritmos e mensurar os seus impactos na área da saúde em geral. Atualmente, atuo como Head do Setor de Inteligência Artificial da Rede D’Or São Luiz.

Palavras-chave: Inteligência Artificial; Inovação; Oftalmologia; Imagem de Retina

PESQUISA

Honorary Research Fellowship in Artificial Intelligence and Eye - University College London, Londres, Inglaterra

Doutorado em Medicina (Clínica Cirúrgica) - Universidade de São Paulo, USP, Brasil

Residência médica em Oftalmologia - Fundação Altino Ventura, FAV, Brasil

INFORMAÇÕES ADICIONAIS

Prêmios e Títulos

Prêmio Melhores Teses/Capes - Edição 2016, Área Medicina III (Menção Honrosa), CAPES

Título de Especialista em Retina e Vítreo, Universidade de São Paulo

Título de Especialista em Uveítes e AIDS, Universidade de Federal de São Paulo

Título de Especialista em Oftalmologia, Associação Médica Brasileira - Conselho Brasileiro de Oftalmologia

7° lugar (Mérito Científico) - CNPq/FACEPE na V Jornada de Iniciação Científica CNPq/Recife em julho de 2001, PIBIC/CNPQ

Publicações Selecionadas

Ferraz DA, Vasquez LM, Preti RC, Motta A, Sophie R, Bittencourt MG, Sepah YJ, Monteiro ML, Nguyen QD, Takahashi WY. A randomized controlled trial of panretinal photocoagulation with and without intravitreal ranibizumab in treatment-naive eyes with non-high-risk proliferative diabetic retinopathy. Retina. 2015 Feb;35(2):280-7. PMID: 25272318.

Motta AAL, Bonanomi MTBC, Ferraz DA, Preti RC, Sophie R, Abalem MF, Queiroz MS, Pimentel SLG, Takahashi WY, Damico FM. Short-term effects of intravitreal bevacizumab in contrast sensitivity of patients with diabetic macular edema and optimizing glycemic control. Diabetes Res Clin Pract. 2019 Mar;149:170-178. Epub 2019 Feb 11. PMID: 30763599.

Wagner SK, Fu DJ, Faes L, Liu X, Huemer J, Khalid H, Ferraz D, Korot E, Kelly C, Balaskas K, Denniston AK, Keane PA. Insights into Systemic Disease through Retinal Imaging-Based Oculomics. Transl Vis Sci Technol. 2020 Feb 12;9(2):6. Erratum in: Transl Vis Sci Technol. 2021 Jul 1;10(8):13. PMID: 32704412; PMCID: PMC7343674.

Moraes G, Fu DJ, Wilson M, Khalid H, Wagner SK, Korot E, Ferraz D, Faes L, Kelly CJ, Spitz T, Patel PJ, Balaskas K, Keenan TDL, Keane PA, Chopra R. Quantitative Analysis of OCT for Neovascular Age-Related Macular Degeneration Using Deep Learning. Ophthalmology. 2021 May;128(5):693-705. Epub 2020 Sep 24. PMID: 32980396; PMCID: PMC8528155.

Korot, E., Guan, Z., Ferraz, Det al. Code-free deep learning for multi-modality medical image classification. Nat Mach Intell. 3, 288–298 (2021).

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