High-Accuracy Digitization of Humphrey Visual Field Reports Using Convolutional Neural Networks
The implications of this study extend to streamlined clinical workflows and AI-based report interpretation. By enabling comprehensive trend analysis of visual field changes, our model represents a significant advancement in glaucoma care, showcasing the transformative potential of AI-driven technologies in enhancing precision medicine and improving patient outcomes.
Authors
- Wei-Wen Su (ORCID: https://orcid.org/0000-0001-9682-9152)
- Shian‐Sen Shie (ORCID: https://orcid.org/0000-0001-6891-5205)
Institutions
- Chang Gung University (TW)
- Linkou Chang Gung Memorial Hospital (TW)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1167/tvst.14.5.6
- Citations
- 1
- Primary Topic
- Glaucoma and retinal disorders
- Type
- article
- Field-Weighted Citation Impact
- 1.71