Diagnostic Accuracy of Automated Diabetic Retinopathy Image Assessment Software: IDx-DR and RetCAD
In this direct comparison using the same patient cohort, the two algorithms showed differences in their operating parameters for RDR screening. IDx-DR prioritized avoiding false negatives over false positives while RetCAD maintained a more balanced trade-off. These results highlight the variable performance of current artificial intelligence screening solutions and suggest the importance of considering algorithm performance metrics when deploying automated diabetic retinopathy screening programs, based on available healthcare resources.
Authors
- Andrzej E. Grzybowski (ORCID: https://orcid.org/0000-0002-3724-2391)
- Piotr Brona (ORCID: https://orcid.org/0000-0001-9664-6137)
- Tomasz Krzywicki (ORCID: https://orcid.org/0000-0002-5353-5231)
- Paisan Ruamviboonsuk (ORCID: https://orcid.org/0000-0001-6114-6220)
Institutions
- Rajavithi Hospital (TH)
- Foundation for Cardiac Surgery (BE)
- University of Warmia and Mazury in Olsztyn (PL)
- Rangsit University (TH)
Publication Details
- Journal
- Ophthalmology and Therapy
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1007/s40123-024-01049-z
- Citations
- 11
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 4.45