Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Luis Filipe Nakayama"'
Autor:
Rodrigo Brant, Luis Filipe Nakayama, Talita Virgínia Fernandes de Oliveira, Juliana Angelica Estevão de Oliveira, Lucas Zago Ribeiro, Gabriela Dalmedico Richter, Rafael Rodacki, Fernando Marcondes Penha
Publikováno v:
International Journal of Retina and Vitreous, Vol 10, Iss 1, Pp 1-5 (2024)
Abstract Background Diabetic retinopathy (DR) stands as the foremost cause of preventable blindness in adults. Despite efforts to expand DR screening coverage in the Brazilian public healthcare system, challenges persist due to various factors includ
Externí odkaz:
https://doaj.org/article/5813a6ea4523467181d7394de7fd4698
Autor:
Lucas Zago Ribeiro, Luis Filipe Nakayama, Fernando Korn Malerbi, Caio Vinicius Saito Regatieri
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract To assess the feasibility of code-free deep learning (CFDL) platforms in the prediction of binary outcomes from fundus images in ophthalmology, evaluating two distinct online-based platforms (Google Vertex and Amazon Rekognition), and two di
Externí odkaz:
https://doaj.org/article/6935695c03b64109991261ce06a845b8
Autor:
Luis Filipe Nakayama, David Restrepo, João Matos, Lucas Zago Ribeiro, Fernando Korn Malerbi, Leo Anthony Celi, Caio Saito Regatieri
Publikováno v:
PLOS Digital Health, Vol 3, Iss 7 (2024)
Externí odkaz:
https://doaj.org/article/48c46519551b4e1d9785e129d8a3f4cd
Autor:
Fernando K. Malerbi, MD, PhD, Luis Filipe Nakayama, MD, Gustavo Barreto Melo, MD, PhD, José A. Stuchi, MSC, PhD, Diego Lencione, MSC, Paulo V. Prado, MSC, Lucas Z. Ribeiro, MD, Sergio A. Dib, MD, PhD, Caio V. Regatieri, MD, PhD
Publikováno v:
Ophthalmology Science, Vol 4, Iss 4, Pp 100481- (2024)
Purpose: To evaluate the performance of artificial intelligence (AI) systems embedded in a mobile, handheld retinal camera, with a single retinal image protocol, in detecting both diabetic retinopathy (DR) and more-than-mild diabetic retinopathy (mtm
Externí odkaz:
https://doaj.org/article/3dcf200d933540a199c8a8613bdaaaa0
Autor:
Vinicius Campos Bergamo, Luis Filipe Nakayama, Nilva Simeren Bueno De Moraes, Maria Cecília Zorat Yu, Ana Luiza Höfling-Lima, Maurício Maia
Publikováno v:
International Journal of Retina and Vitreous, Vol 9, Iss 1, Pp 1-12 (2023)
Abstract Background To describe the incidence of endophthalmitis and the treatment outcomes of acute bacterial endophthalmitis following intravitreal anti-vascular endothelial growth factor (anti-VEGF) injections in a Brazilian hospital. The analysis
Externí odkaz:
https://doaj.org/article/822570ac2d6648468ae24174335c8e52
Autor:
Luis Filipe Nakayama, Lucas Zago Ribeiro, Juliana Angelica Estevão de Oliveira, João Carlos Ramos Gonçalves de Matos, William Greig Mitchell, Fernando Korn Malerbi, Leo Anthony Celi, Caio Vinicius Saito Regatieri
Publikováno v:
International Journal of Retina and Vitreous, Vol 9, Iss 1, Pp 1-7 (2023)
Abstract Purpose In supervised Machine Learning algorithms, labels and reports are important in model development. To provide a normality assessment, the OCT has an in-built normative database that provides a color base scale from the measurement dat
Externí odkaz:
https://doaj.org/article/ea8702d9f4b649b285623e9d9e8f9a41
Autor:
Luis Filipe Nakayama, MD, João Carlos Ramos Gonçalves de Matos, BSc, Isabelle Ursula Stewart, BSc, William Greig Mitchell, MBBS, MPH, Nicole Martinez-Martin, JD, PhD, Caio Vinicius Saito Regatieri, MD, PhD, Leo Anthony Celi, MD, MPH
Publikováno v:
Mayo Clinic Proceedings: Digital Health, Vol 1, Iss 2, Pp 67-74 (2023)
In ophthalmology, extensive use of ancillary imaging has enabled the development of artificial intelligence models, for which data are crucial. A data-sharing environment promotes external validation, collaborative research, and bias assessment befor
Externí odkaz:
https://doaj.org/article/0b6833b2171f44058a8cda21ff9e6451
Autor:
Luis Filipe Nakayama, Lucas Zago Ribeiro, Frederico Novaes, Isabele Ayumi Miyawaki, Andresa Emy Miyawaki, Juliana Angélica Estevão de Oliveira, Talita Oliveira, Fernando Korn Malerbi, Caio Vinicius Saito Regatieri, Leo Anthony Celi, Paolo S. Silva
Publikováno v:
Annals of Medicine, Vol 55, Iss 2 (2023)
AbstractPurpose This study aims to compare artificial intelligence (AI) systems applied in diabetic retinopathy (DR) teleophthalmology screening, currently deployed systems, fairness initiatives and the challenges for implementation.Methods The revie
Externí odkaz:
https://doaj.org/article/251fbcb129c448cda70f01f49d06f363
Autor:
Leo Anthony Celi, Alvina Pauline Dy Santiago, Luis Filipe Nakayama, Lucas Zago Ribeiro, Caio Vinicius Saito Regatieri, Khumbo Kalua, William Greig Mitchell, Warachaya Phanphruk, Robyn Gayle Dychiao, Nilva Simeren Bueno Moraes
Publikováno v:
BMJ Open Ophthalmology, Vol 8, Iss 1 (2023)
Background Retinopathy of prematurity (ROP) is a vasoproliferative disease responsible for more than 30 000 blind children worldwide. Its diagnosis and treatment are challenging due to the lack of specialists, divergent diagnostic concordance and var
Externí odkaz:
https://doaj.org/article/5d4aa7856c604b25b85041d9e7366041
Autor:
David Restrepo, Justin Quion, Constanza Vásquez-Venegas, Cleva Villanueva, Leo Anthony Celi, Luis Filipe Nakayama
Publikováno v:
PLOS Digital Health, Vol 2, Iss 10, p e0000368 (2023)
Artificial intelligence (AI) algorithms have the potential to revolutionize healthcare, but their successful translation into clinical practice has been limited. One crucial factor is the data used to train these algorithms, which must be representat
Externí odkaz:
https://doaj.org/article/a09a50a8c17f4a5f8ad8a9539b876ab3