TARGETED INTERVENTIONS LEAD TO QUALITY IMPROVEMENT IN YEAR 2 OF AN ARTIFICIAL INTELLIGENCE-BASED DIABETIC RETINOPATHY DETECTION PROGRAM IN NORTHERN CALIFORNIA
The second-year outcomes of the STATUS AI-based DR screening program demonstrate significant improvements in image gradability by the AI system as well as in patient encounter numbers. These findings highlight the potential of interventional methods to continually improve the outcomes of AI-based screening programs and offer a scalable solution to the growing burden of diabetic retinopathy. The success of STATUS supports further integration and expansion of AI-based screening in clinical practice for early detection and management of DR, improving patient outcomes.
Authors
- Vinit B. Mahajan (ORCID: https://orcid.org/0000-0003-1886-1741)
- Kaniksha Desai (ORCID: https://orcid.org/0000-0003-4680-1965)
- Prithvi Mruthyunjaya (ORCID: https://orcid.org/0000-0003-1087-9736)
- Theodore Leng (ORCID: https://orcid.org/0000-0002-8461-3562)
- David Myung (ORCID: https://orcid.org/0000-0002-7980-3070)
- Christopher Or
- Cindy S. Zhao (ORCID: https://orcid.org/0000-0001-9925-2985)
- Austen Knapp
- V. Diana (ORCID: https://orcid.org/0000-0003-1935-1241)
- Anuradha C. Phadke (ORCID: https://orcid.org/0000-0001-9682-8184)
- Marilyn Tan (ORCID: https://orcid.org/0000-0002-6651-4691)
- Eliot R. Dow (ORCID: https://orcid.org/0000-0001-7409-2049)
- Karen Chen (ORCID: https://orcid.org/0000-0002-7585-2713)
Institutions
- Palo Alto University (US)
- VA Palo Alto Health Care System (US)
- California Retina Consultants (US)
- Stanford University (US)
Publication Details
- Journal
- Retina
- Published
- 2025-05-07
- DOI
- https://doi.org/10.1097/iae.0000000000004499
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00