Artificial Intelligence-Based Screening System for Diabetic Retinopathy in Primary Care
The AIRS performed well when reading and classifying the retinographies of T2DM patients with RDR. The DRPA performed well in predicting the absence of DR based on some clinical variables.
Authors
- Raúl Navarro-Gil (ORCID: https://orcid.org/0000-0003-2970-205X)
- Benilde Fontoba-Poveda (ORCID: https://orcid.org/0000-0003-2518-9973)
- Pedro Romero‐Aroca (ORCID: https://orcid.org/0000-0002-7061-8987)
- Alejandra Mira-Puerto (ORCID: https://orcid.org/0000-0001-8548-0290)
- Ángel Bautista-Pérez
- Monica Llagostera-Serra
- Montse Vizcarro
- Marc Baget‐Bernaldiz (ORCID: https://orcid.org/0000-0002-5014-6329)
- Adriana Hernando-Comerma
- Cristian Morente-Lorenzo
Institutions
- Institut de Recerca Biomèdica Catalunya Sud (ES)
- Universitat Rovira i Virgili (ES)
Publication Details
- Journal
- Diagnostics
- Published
- 2024-09-09
- DOI
- https://doi.org/10.3390/diagnostics14171992
- Citations
- 2
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.81