Feasibility and Patient Experience of a Pilot Artificial Intelligence-Based Diabetic Retinopathy Screening Program in Northern Ontario
Screening for diabetic retinopathy using autonomous artificial intelligence in a primary care setting is feasible and acceptable. This approach has significant advantages for both physicians and patients while achieving very high patient satisfaction.
Authors
- J. Scali
- Noelle Whitestone (ORCID: https://orcid.org/0000-0003-3355-3878)
- A. Ojeda
- Vishaal Bhambhwani (ORCID: https://orcid.org/0000-0001-5468-4039)
- Jennifer L. Patnaik (ORCID: https://orcid.org/0000-0002-0375-0187)
- David Hunter Cherwek (ORCID: https://orcid.org/0000-0003-0662-3340)
Institutions
- Thunder Bay Regional Health Sciences Centre (CA)
- Lamar State College–Port Arthur (US)
- NOSM University (CA)
- University of Colorado Denver (US)
Publication Details
- Journal
- Ophthalmic Epidemiology
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1080/09286586.2024.2434738
- Citations
- 5
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- Northern Ontario Academic Medicine Association
- Innovation Fund