OphthoACR (Ophthalmology Automated Chart Review): An AI-Powered Tool for Complete Automation of Ophthalmology Chart Reviews and Cohort Data Analysis
OphthoACR provides end-to-end automation of retrospective chart reviews, transforming the currently labor-intensive manual process into an efficient, accurate, and scalable solution that substantially enhances clinical research.
Authors
- Vlad Diaconita (ORCID: https://orcid.org/0000-0002-3183-5364)
- Leejee H. Suh (ORCID: https://orcid.org/0000-0002-2104-6281)
- Karen Chen (ORCID: https://orcid.org/0000-0002-7585-2713)
- Kevin W. Chen (ORCID: https://orcid.org/0000-0003-4538-4952)
- Stanley Chang
Institutions
- Columbia University Irving Medical Center (US)
- Louisiana State University Health Sciences Center New Orleans (US)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1167/tvst.14.10.8
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96
Funders
- National Institutes of Health
- Irving Medical Center, Columbia University
- Vagelos College of Physicians and Surgeons, Columbia University