Artificial Intelligence–Enhanced OCT Biomarkers Analysis in Macula-off Rhegmatogenous Retinal Detachment Patients
The study underscores the role of novel biomarkers like HF in understanding visual function in macula-off RRD.
Authors
- Alain Jungo (ORCID: https://orcid.org/0000-0001-8327-4653)
- Rodrigo Anguita (ORCID: https://orcid.org/0000-0003-2382-1111)
- Enrico Bernardi (ORCID: https://orcid.org/0000-0002-8082-4813)
- Martin Sebastian Zinkernagel (ORCID: https://orcid.org/0000-0003-3447-2359)
- Dmitri Artemiev
- Lorenzo Ferro Desideri (ORCID: https://orcid.org/0000-0003-0715-6369)
- Michel Hayoz (ORCID: https://orcid.org/0009-0003-8234-7971)
- Raphael Sznitman (ORCID: https://orcid.org/0000-0001-6791-4753)
- Karin Paschon
- Tamara Danilovska
Institutions
- University of Bern (CH)
- Moorfields Eye Hospital NHS Foundation Trust (GB)
- University Hospital of Bern (CH)
- Moorfields Eye Hospital (GB)
- University College London (GB)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1167/tvst.13.10.21
- Citations
- 13
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 5.26