Use of Artificial Intelligence–Based Detection of Diabetic Retinopathy in the US
This cohort study examines patient data from January 2019 to December 2023 to evaluate national trends in the use of artificial intelligence–based screenings to detect diabetic retinopathy among patients with types 1 or 2 diabetes.
Authors
- Prithvi Mruthyunjaya (ORCID: https://orcid.org/0000-0003-1087-9736)
- Jared T. Sokol
- Ravi Parikh (ORCID: https://orcid.org/0000-0003-3369-4224)
- Karen M. Wai (ORCID: https://orcid.org/0000-0001-8980-2242)
- David Myung (ORCID: https://orcid.org/0000-0002-7980-3070)
- Ehsan Rahimy (ORCID: https://orcid.org/0000-0001-8446-7078)
- Shreya Shah (ORCID: https://orcid.org/0000-0001-7055-7566)
Institutions
- Vitreous Retina Macula Consultants of New York (US)
- Palo Alto Institute (US)
- New York University (US)
- Smith-Kettlewell Eye Research Institute (US)
- Stanford University (US)
Publication Details
- Journal
- JAMA Ophthalmology
- Published
- 2024-10-31
- DOI
- https://doi.org/10.1001/jamaophthalmol.2024.4493
- Citations
- 15
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 6.06