Cargando…
Development of LuxIA, a Cloud-Based AI Diabetic Retinopathy Screening Tool Using a Single Color Fundus Image
PURPOSE: Diabetic retinopathy (DR) is the leading cause of vision impairment in working-age adults. Automated screening can increase DR detection at early stages at relatively low costs. We developed and evaluated a cloud-based screening tool that uses artificial intelligence (AI), the LuxIA algorit...
Autores principales: | Blair, Joseph P. M., Rodriguez, Jose Natan, Lasagni Vitar, Romina M., Stadelmann, Marc A., Abreu-González, Rodrigo, Donate, Juan, Ciller, Carlos, Apostolopoulos, Stefanos, Bermudez, Carlos, De Zanet, Sandro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691390/ https://www.ncbi.nlm.nih.gov/pubmed/38032322 http://dx.doi.org/10.1167/tvst.12.11.38 |
Ejemplares similares
-
“Connection Failed”: A Word of Caution on Telemedicine in Radiation Oncology
por: Finazzi, Tobias, et al.
Publicado: (2020) -
Opportunities in Telemedicine, Lessons Learned After COVID-19 and the Way Into the Future
por: Abdel-Wahab, May, et al.
Publicado: (2020) -
Telemedicine in Radiation Oncology Post–COVID-19 Pandemic: There Is No Turning Back
por: Orazem, Miha, et al.
Publicado: (2020) -
Time-Driven Activity-Based Costing Analysis of Telemedicine Services in Radiation Oncology
por: Parikh, Neil R., et al.
Publicado: (2020) -
Radiation Oncologist Perceptions of Telemedicine from Consultation to Treatment Planning: A Mixed-Methods Study
por: Zhang, Helen, et al.
Publicado: (2020)