Výsledky vyhledávání

Validation of an autonomous artificial intelligence–based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context

Autor: Octavi Font, Jordina Torrents-Barrena, Dídac Royo, Sandra Banderas García, Javier Zarranz-Ventura, Anniken Bures, Cecilia Salinas, Miguel Ángel Zapata

Publikováno v: Scientia
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona

Purpose This study aims to evaluate the ability of an autonomous artificial intelligence (AI) system for detection of the most common central retinal pathologies in fundus photography. Methods Retrospective diagnostic test evaluation on a raw dataset

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3455cd4e12f772794550adce2dd0fb7
https://hdl.handle.net/11351/8408

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Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma

Autor: Eduard Ayguadé, Ivanna Marcantonio, Octavi Font, Abraham Sánchez-Pérez, Eduardo Ulises Moya-Sánchez, José I. Vela, Ulises Cortés, Miguel A Zapata, Dídac Royo-Fibla, Jesús Labarta, Dario Garcia-Gasulla

Publikováno v: Clinical Ophthalmology. 14:419-429

Purpose To assess the performance of deep learning algorithms for different tasks in retinal fundus images: (1) detection of retinal fundus images versus optical coherence tomography (OCT) or other images, (2) evaluation of good quality retinal fundu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::638b5fab9de5e2a12310dd5d34566ecb
https://doi.org/10.2147/opth.s235751

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Artificial Intelligence for the Detection of Diabetic Retinopathy in Primary Care: Protocol for Algorithm Development

Autor: Miguel A Zapata, Josep Vidal-Alaball, Oscar Solans Fernandez, Dídac Royo Fibla, Francesc X Marin-Gomez

Publikováno v: JMIR Research Protocols

Background: Diabetic retinopathy (DR) is one of the most important causes of blindness worldwide, especially in developed countries. In diabetic patients, periodic examination of the back of the eye using a nonmydriatic camera has been widely demonst

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4f48c6682b00b94d37f79e9decafa07
http://europepmc.org/articles/PMC6376335

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Artificial Intelligence for the Detection of Diabetic Retinopathy in Primary Care: Protocol for Algorithm Development (Preprint)

Autor: Josep Vidal-Alaball, Dídac Royo Fibla, Miguel A Zapata, Francesc X Marin-Gomez, Oscar Solans Fernandez

BACKGROUND Diabetic retinopathy (DR) is one of the most important causes of blindness worldwide, especially in developed countries. In diabetic patients, periodic examination of the back of the eye using a nonmydriatic camera has been widely demonstr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9b29b0fc5316716226f1d747fea6a4b0
https://doi.org/10.2196/preprints.12539

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