Artificial Intelligence in Predicting Ocular Hypertension After Descemet Membrane Endothelial Keratoplasty
This study identified significant risk factors for post-DMEK OHT and highlighted the importance of ocular topographic measures in risk assessment. The development of a final machine learning model to differentiate between clinically predictable patient groups demonstrates the clinical utility of the proposed model for predicting post-DMEK OHT.
Authors
- Heesuk Kim (ORCID: https://orcid.org/0000-0002-0898-7781)
- Hyung Keun Lee (ORCID: https://orcid.org/0000-0002-1123-2136)
- Wungrak Choi (ORCID: https://orcid.org/0000-0002-3015-2502)
- Chan Yun Kim
- Min Seok Kim (ORCID: https://orcid.org/0000-0001-7092-5429)
Institutions
- Yonsei University (KR)
Publication Details
- Journal
- Investigative Ophthalmology & Visual Science
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1167/iovs.66.1.61
- Citations
- 3
- Primary Topic
- Glaucoma and retinal disorders
- Type
- article
- Field-Weighted Citation Impact
- 5.12
Funders
- National Research Foundation
- National Research Foundation of Korea