Zobrazeno 1 - 10
of 78
pro vyhledávání: '"B Mariottoni"'
Autor:
Shounak Datta, Eduardo B. Mariottoni, David Dov, Alessandro A. Jammal, Lawrence Carin, Felipe A. Medeiros
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Glaucoma is the leading cause of irreversible blindness in the world, affecting over 70 million people. The cumbersome Standard Automated Perimetry (SAP) test is most frequently used to detect visual loss due to glaucoma. Due to the SAP test
Externí odkaz:
https://doaj.org/article/c941d8aad29d42f58a89fbd61fdda5ca
Autor:
Eduardo B. Mariottoni, Alessandro A. Jammal, Samuel I. Berchuck, Leonardo S. Shigueoka, Ivan M. Tavares, Felipe A. Medeiros
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract The current lack of consensus for diagnosing glaucoma makes it difficult to develop diagnostic tests derived from deep learning (DL) algorithms. In the present study, we propose an objective definition of glaucomatous optic neuropathy (GON)
Externí odkaz:
https://doaj.org/article/4b03754d3aa5456abb70e97f011a0064
Autor:
Alessandro A. Jammal, Atalie C. Thompson, Nara G. Ogata, Eduardo B. Mariottoni, Carla N. Urata, Vital P. Costa, Felipe A. Medeiros
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Abstract In this study we developed a deep learning (DL) algorithm that detects errors in retinal never fibre layer (RNFL) segmentation on spectral-domain optical coherence tomography (SDOCT) B-scans using human grades as the reference standard. A da
Externí odkaz:
https://doaj.org/article/ff59cbf4e58c4006b56258a938b3adfb
Autor:
Eduardo B. Mariottoni, Shounak Datta, Leonardo S. Shigueoka, Alessandro A. Jammal, Ivan M. Tavares, Ricardo Henao, Lawrence Carin, Felipe A. Medeiros
Publikováno v:
Ophthalmology Glaucoma. 6:228-238
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13dbc9ade282ddf2f3240effee4bf798
https://doi.org/10.1016/j.ogla.2022.11.004
https://doi.org/10.1016/j.ogla.2022.11.004
Publikováno v:
Modeling and Artificial Intelligence in Ophthalmology. 4
The relationship between structural damage and functional loss in glaucoma is of great importance for its diagnosis and management. The functional status is usually assessed through visual field examination, a subjective test that is burdensome and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e1c3ff276dfaf7296e85cc775aca1f3
https://doi.org/10.35119/maio.v4i1.125
https://doi.org/10.35119/maio.v4i1.125
Publikováno v:
European Heart Journal. 43
In recent years, the term “drucebo effect” (drug + nocebo) has been coined to mean the nocebo effect attributable more to the patient's expectations, the doctor's preferences and the interference of the mass media rather than the actual pharmacol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f2114197b2c71d853af446ea2084c46
https://doi.org/10.1093/eurheartj/ehac544.2664
https://doi.org/10.1093/eurheartj/ehac544.2664
Autor:
Eduardo B, Mariottoni, Shounak, Datta, Leonardo S, Shigueoka, Alessandro A, Jammal, Ivan M, Tavares, Ricardo, Henao, Lawrence, Carin, Felipe A, Medeiros
Publikováno v:
Ophthalmology. Glaucoma.
To develop and validate a deep learning (DL) model for detection of glaucoma progression using spectral-domain optical coherence tomography (SDOCT) measurements of retinal nerve fiber layer (RNFL) thickness.Retrospective cohort study.A total of 14,03
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::4b01696584db533365b9d1238ade6943
https://pubmed.ncbi.nlm.nih.gov/36410708
https://pubmed.ncbi.nlm.nih.gov/36410708
Publikováno v:
Am J Ophthalmol
PURPOSE: To assess whether longitudinal changes in a deep learning algorithm’s predictions of retinal nerve fiber layer (RNFL) thickness based on fundus photographs can predict future development of glaucomatous visual field defects. DESIGN: Retros
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e922440ef594f5bef4ceef7128db2019
https://doi.org/10.1016/j.ajo.2020.12.031
https://doi.org/10.1016/j.ajo.2020.12.031
Akademický článek
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Publikováno v:
European Heart Journal Supplements. 25:D63-D63
Background The classification of suspected anginal stable chest pain into typical, atypical, and non anginal is equivocal and may lead to patient perceptions and physician decisions that do not match the importance of the clinical picture. The study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ef421692c052cdaff387902b0721db4
https://doi.org/10.1093/eurheartjsupp/suad111.148
https://doi.org/10.1093/eurheartjsupp/suad111.148