Validation of a Deep Learning Model for Diabetic Retinopathy on Patients with Young-Onset Diabetes
DLS-based DR screening performed well in younger individuals aged 18-25, with comparable sensitivity and higher specificity compared to individuals aged 26-45. Sheen presence in this cohort made identification of DME difficult for graders and depressed measured DLS sensitivity; additional studies incorporating optical coherence tomography may improve accuracy of measuring DLS DME sensitivity.
Authors
- Naama Hammel (ORCID: https://orcid.org/0000-0002-1284-0061)
- Ilana Traynis
- Sunny Virmani (ORCID: https://orcid.org/0009-0008-0647-8853)
- Pradeep Venkatesh (ORCID: https://orcid.org/0000-0002-3706-7407)
- Rajroshan Sawhney
- Dale R. Webster (ORCID: https://orcid.org/0000-0002-3023-8824)
- Jonathan Krause (ORCID: https://orcid.org/0000-0002-1952-3480)
- Arthur Brant (ORCID: https://orcid.org/0000-0002-1105-4747)
- Tayyeba K. Ali
- Yun Liu (ORCID: https://orcid.org/0000-0003-4079-8275)
- Yang Lu (ORCID: https://orcid.org/0000-0002-3027-3064)
- Kasumi Widner
- Nikhil Tandon (ORCID: https://orcid.org/0000-0003-4928-2347)
- Divleen Jeji
- Xiang Yin (ORCID: https://orcid.org/0009-0003-5364-2787)
- Preeti Singh (ORCID: https://orcid.org/0000-0003-1033-3725)
- Pradeep A. Praveen
- Antonio Tan-Torres
- Dushyantsinh Jadeja
Institutions
- Google (United States) (US)
- All India Institute of Medical Sciences Raipur (IN)
- All India Institute of Medical Sciences Bhopal (IN)
- All India Institute of Medical Sciences (IN)
Publication Details
- Journal
- Ophthalmology and Therapy
- Published
- 2025-03-14
- DOI
- https://doi.org/10.1007/s40123-025-01116-z
- Citations
- 4
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 5.44