Artificial Intelligence in Vitreoretinal Surgery: A Systematic Review of Current Applications and Future Directions
AI may transform vitreoretinal surgery, from outcome prediction to intraoperative guidance and workflow support. Despite strong performance in research settings, broader clinical adoption requires prospective validation to ensure reliability, transparency, and real-world benefit.
Authors
- Ben Kirkpatrick
- Y Subhi
- Rodrigo Felipe Montes Anguita
- Carla Troyas (ORCID: https://orcid.org/0009-0007-3781-3274)
- Enrico Bernardi
- Neil Shah
- Lorenzo Ferro Desideri
- Martin Zinkernagel
Institutions
- University of Bern (CH)
- University of Copenhagen (DK)
- Belfast Health and Social Care Trust (GB)
- Moorfields Eye Hospital NHS Foundation Trust (GB)
- University of Southern Denmark (DK)
- University Hospital of Bern (CH)
- Rigshospitalet (DK)
- Moorfields Eye Hospital (GB)
- University College London (GB)
- Technical University of Munich (DE)
Publication Details
- Journal
- Ophthalmology and Therapy
- Published
- 2026-03-07
- DOI
- https://doi.org/10.1007/s40123-026-01347-8
- Primary Topic
- Retinal and Macular Surgery
- Type
- article
- Field-Weighted Citation Impact
- 0.00