Artificial intelligence analysis of OCT biomarkers to predict visual outcomes following vitrectomy for epiretinal membrane
Preoperative AI-derived OCT biomarkers, particularly indicators of outer retinal thinning and inner retinal thickening, are associated with limited visual recovery following ERM surgery. Integration of automated biomarker analysis into preoperative assessment may help identify patients at higher risk of suboptimal postoperative vision, informing surgical decision-making and patient counseling.
Authors
- Rodrigo Anguita (ORCID: https://orcid.org/0000-0003-2382-1111)
- Martin Sebastian Zinkernagel (ORCID: https://orcid.org/0000-0003-3447-2359)
- Yousif Subhi (ORCID: https://orcid.org/0000-0001-6620-5365)
- Lorenzo Ferro Desideri (ORCID: https://orcid.org/0000-0003-0715-6369)
- Raphael Sznitman (ORCID: https://orcid.org/0000-0001-6791-4753)
- Hung‐Da Chou (ORCID: https://orcid.org/0000-0002-1561-3059)
- Yu-Chieh Chang (ORCID: https://orcid.org/0000-0001-7085-3402)
- Nina Eldridge
- Leandro Hinrichsen
Institutions
- University of Bern (CH)
- University of Copenhagen (DK)
- Moorfields Eye Hospital NHS Foundation Trust (GB)
- University of Southern Denmark (DK)
- University Hospital of Bern (CH)
- Rigshospitalet (DK)
- Chang Gung Memorial Hospital (TW)
- Moorfields Eye Hospital (GB)
- University College London (GB)
Publication Details
- Journal
- International Journal of Retina and Vitreous
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1186/s40942-025-00735-9
- Citations
- 2
- Primary Topic
- Retinal and Macular Surgery
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- Novo Nordisk
- Syddansk Universitet