Improving diabetic retinopathy screening using artificial intelligence: design, evaluation and before-and-after study of a custom development
DR screening was more effective when supported by NaIA-RD, which could be safely used to autonomously perform the first level of screening. This shows how AI devices, when seamlessly integrated into clinical workflows, can help improve clinical pathways in the long term.
Authors
- Miguel Saínz
- Álvaro Olazarán
- J. Andonegui (ORCID: https://orcid.org/0000-0002-3109-3743)
- Mikel Galar
- Borja de la Osa
- David Jurío
- Jerónimo Ballaz
- Javier Gorricho
- Imanol Pinto
- Aritz Oscoz
Institutions
- Generalitat de Catalunya (ES)
- Universidad Pública de Navarra (UPNA) (ES)
- Instituto de Salud Pública de Navarra (ES)
- Complejo Hospitalario de Navarra (ES)
- Navarre Institute of Health Research (ES)
- Universidad de Navarra (ES)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-06-19
- DOI
- https://doi.org/10.3389/fdgth.2025.1547045
- Citations
- 4
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 5.44