Search Results - "Nakayama, Luis Filipe"

Twelve-Year-Old Girl with Acute Macular Neuroretinopathy: A Multimodal Retinal Evaluation by Nakayama, Luis Filipe, Kase, Camila, Bergamo, Vinicius Campos, de Moraes, Nilva Simeren Bueno

“…We report a 12-year-old female patient with acute macular neuroretinopathy assessed with multimodal retinal exams. Initial fluorescein angiogram and optical…”
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Automated machine learning model for fundus image classification by health-care professionals with no coding experience by Zago Ribeiro, Lucas, Nakayama, Luis Filipe, Malerbi, Fernando Korn, Regatieri, Caio Vinicius Saito

“…To assess the feasibility of code-free deep learning (CFDL) platforms in the prediction of binary outcomes from fundus images in ophthalmology, evaluating two…”
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The Digital Divide in Brazil and Barriers to Telehealth and Equal Digital Health Care: Analysis of Internet Access Using Publicly Available Data by Nakayama, Luis Filipe, Binotti, William Warr, Link Woite, Naira, Fernandes, Chrystinne Oliveira, Alfonso, Pia Gabrielle, Celi, Leo Anthony, Regatieri, Caio Vinicius

“…The COVID-19 pandemic has increased the use of digital solutions in medical care, especially for patients in remote areas and those requiring regular medical…”
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Digital Education for the Deployment of Artificial Intelligence in Health Care by Malerbi, Fernando Korn, Nakayama, Luis Filipe, Gayle Dychiao, Robyn, Zago Ribeiro, Lucas, Villanueva, Cleva, Celi, Leo Anthony, Regatieri, Caio Vinicius

“…Artificial Intelligence (AI) represents a significant milestone in health care's digital transformation. However, traditional health care education and…”
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Artificial intelligence for telemedicine diabetic retinopathy screening: a review by Nakayama, Luis Filipe, Zago Ribeiro, Lucas, Novaes, Frederico, Miyawaki, Isabele Ayumi, Miyawaki, Andresa Emy, de Oliveira, Juliana Angélica Estevão, Oliveira, Talita, Malerbi, Fernando Korn, Regatieri, Caio Vinicius Saito, Celi, Leo Anthony, Silva, Paolo S.

“…PURPOSEThis study aims to compare artificial intelligence (AI) systems applied in diabetic retinopathy (DR) teleophthalmology screening, currently deployed…”
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BRSET: A Brazilian Multilabel Ophthalmological Dataset of Retina Fundus Photos by Nakayama, Luis Filipe, Restrepo, David, Matos, João, Ribeiro, Lucas Zago, Malerbi, Fernando Korn, Celi, Leo Anthony, Regatieri, Caio Saito

“…The Brazilian Multilabel Ophthalmological Dataset (BRSET) addresses the scarcity of publicly available ophthalmological datasets in Latin America. BRSET…”
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Equity should be fundamental to the emergence of innovation by Gallifant, Jack, Nakayama, Luis Filipe, Gichoya, Judy Wawira, Pierce, Robin, Celi, Leo Anthony

“…The ability of artificial intelligence to perpetuate bias at scale is increasingly recognized. Recently, proposals for implementing regulation that safeguards…”
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A scoping review of the landscape of health-related open datasets in Latin America by Restrepo, David, Quion, Justin, Vásquez-Venegas, Constanza, Villanueva, Cleva, Anthony Celi, Leo, Nakayama, Luis Filipe

“…Artificial intelligence (AI) algorithms have the potential to revolutionize healthcare, but their successful translation into clinical practice has been…”
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Assessment of Clinical Metadata on the Accuracy of Retinal Fundus Image Labels in Diabetic Retinopathy in Uganda: Case-Crossover Study Using the Multimodal Database of Retinal Images in Africa by Arunga, Simon, Morley, Katharine Elise, Kwaga, Teddy, Morley, Michael Gerard, Nakayama, Luis Filipe, Mwavu, Rogers, Kaggwa, Fred, Ssempiira, Julius, Celi, Leo Anthony, Haberer, Jessica E, Obua, Celestino

“…Labeling color fundus photos (CFP) is an important step in the development of artificial intelligence screening algorithms for the detection of diabetic…”
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Image quality comparison of AirDoc portable retina camera versus eyer in a diabetic retinopathy screening program by Brant, Rodrigo, Nakayama, Luis Filipe, de Oliveira, Talita Virgínia Fernandes, de Oliveira, Juliana Angelica Estevão, Ribeiro, Lucas Zago, Richter, Gabriela Dalmedico, Rodacki, Rafael, Penha, Fernando Marcondes

“…Diabetic retinopathy (DR) stands as the foremost cause of preventable blindness in adults. Despite efforts to expand DR screening coverage in the Brazilian…”
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Global disparity bias in ophthalmology artificial intelligence applications by Nakayama, Luis Filipe, Kras, Ashley, Ribeiro, Lucas Zago, Malerbi, Fernando Korn, Mendonça, Luis Salles, Celi, Leo Anthony, Regatieri, Caio Vinicius Saito, Waheed, Nadia K

“…In ophthalmology, a variety of multimodal imaging examinations are fundamental in the screening, diagnosis and monitoring of diseases and provide data input…”
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Bacterial endophthalmitis following anti-VEGF intravitreal injections: a retrospective case series by Bergamo, Vinicius Campos, Nakayama, Luis Filipe, Moraes, Nilva Simeren Bueno De, Yu, Maria Cecília Zorat, Höfling-Lima, Ana Luiza, Maia, Maurício

“…Abstract Background To describe the incidence of endophthalmitis and the treatment outcomes of acute bacterial endophthalmitis following intravitreal…”
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Automated Identification of Different Severity Levels of Diabetic Retinopathy Using a Handheld Fundus Camera and Single-Image Protocol by Malerbi, Fernando K., Nakayama, Luis Filipe, Melo, Gustavo Barreto, Stuchi, José A., Lencione, Diego, Prado, Paulo V., Ribeiro, Lucas Z., Dib, Sergio A., Regatieri, Caio V.

“…To evaluate the performance of artificial intelligence (AI) systems embedded in a mobile, handheld retinal camera, with a single retinal image protocol, in…”
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Fairness and generalizability of OCT normative databases: a comparative analysis by Nakayama, Luis Filipe, Zago Ribeiro, Lucas, de Oliveira, Juliana Angelica Estevão, de Matos, João Carlos Ramos Gonçalves, Mitchell, William Greig, Malerbi, Fernando Korn, Celi, Leo Anthony, Regatieri, Caio Vinicius Saito

“…Abstract Purpose In supervised Machine Learning algorithms, labels and reports are important in model development. To provide a normality assessment, the OCT…”
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Fairness and generalisability in deep learning of retinopathy of prematurity screening algorithms: a literature review by Nakayama, Luis Filipe, Mitchell, William Greig, Ribeiro, Lucas Zago, Dychiao, Robyn Gayle, Phanphruk, Warachaya, Celi, Leo Anthony, Kalua, Khumbo, Santiago, Alvina Pauline Dy, Regatieri, Caio Vinicius Saito, Moraes, Nilva Simeren Bueno

“…BackgroundRetinopathy of prematurity (ROP) is a vasoproliferative disease responsible for more than 30 000 blind children worldwide. Its diagnosis and…”
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Digital Determinants of Health: Health data poverty amplifies existing health disparities-A scoping review by Paik, Kenneth Eugene, Hicklen, Rachel, Kaggwa, Fred, Puyat, Corinna Victoria, Nakayama, Luis Filipe, Ong, Bradley Ashley, Shropshire, Jeremey N I, Villanueva, Cleva

“…Artificial intelligence (AI) and machine learning (ML) have an immense potential to transform healthcare as already demonstrated in various medical…”
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Sociodemographic disparities in ophthalmological clinical trials by Nakayama, Luis Filipe, Mitchell, William Greig, Shapiro, Skyler, Santiago, Alvina Pauline D., Phanphruk, Warachaya, Kalua, Khumbo, Celi, Leo Anthony, Regatieri, Caio Vinicius Saito

“…IntroductionIn ophthalmology, clinical trials (CTs) guide the treatment of diseases such as diabetic retinopathy, myopia, age-related macular degeneration,…”
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Six-year epidemiological analysis of post traumatic endophthalmitis in a Brazilian hospital by Nakayama, Luis Filipe, Bergamo, Vinicius Campos, de Moraes, Nilva Simeren Bueno

“…To evaluate the epidemiology of endophthalmitis cases related to ocular trauma, including visual acuity during and 1 year after trauma, source of trauma and…”
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Diabetic retinopathy classification for supervised machine learning algorithms by Nakayama, Luis Filipe, Ribeiro, Lucas Zago, Gonçalves, Mariana Batista, Ferraz, Daniel A, Dos Santos, Helen Nazareth Veloso, Malerbi, Fernando Korn, Morales, Paulo Henrique, Maia, Mauricio, Regatieri, Caio Vinicius Saito, Mattos, Jr, Rubens Belfort

“…Artificial intelligence and automated technology were first reported more than 70 years ago and nowadays provide unprecedented diagnostic accuracy, screening…”
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Post-discharge follow-up of patients with COVID-19: A Brazilian experience by Nakayama, Luis Filipe, Urias, Müller Gonçalves, Gonçalves, Arthur Sevalho, Ribeiro, Rafael Amorim, Macruz, Tiago de Almeida, Pardo, Rafael Baptista

“…Objective: The objective of this study is to evaluate post-acute symptoms in patients with confirmed severe and critical coronavirus disease 2019 infections…”
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