Construction of a predictive model for the efficacy of anti-VEGF therapy in macular edema patients based on OCT imaging: a retrospective study
Through precise prediction of the response to anti-VEGF therapy in ME patients, deep learning technology provides a revolutionary tool for the treatment of ophthalmic diseases, significantly enhancing treatment outcomes and improving patients' quality of life.
Authors
- Zheqing Li
- Bowen Zang (ORCID: https://orcid.org/0009-0009-5485-2288)
- Huihui Luo
- Cuicui Kong
- Wenbin Wei (ORCID: https://orcid.org/0000-0003-2386-0989)
- Tingting Song (ORCID: https://orcid.org/0000-0002-5320-9778)
- Xifang Zhang (ORCID: https://orcid.org/0000-0002-6203-9176)
Institutions
- Beijing Tongren Hospital (CN)
- Capital Medical University (CN)
- Fudan University (CN)
- Beijing Shijingshan Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-03-19
- DOI
- https://doi.org/10.3389/fmed.2025.1505530
- Citations
- 4
- Primary Topic
- Retinal Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 6.83