Artificial Intelligence in Predicting Ocular Hypertension After Descemet Membrane Endothelial Keratoplasty.

ABSTRACT:

Purpose

Descemet membrane endothelial keratoplasty (DMEK) has emerged as a novel approach in corneal transplantation over the past two decades. This study aims to identify predisposing risk factors for post-DMEK ocular hypertension (OHT) and develop a preoperative predictive model for post-DMEK OHT.

Methods

Patients who underwent DMEK at Gangnam Severance Hospital between 2017 and 2024 were included in the study. Four machine learning models-XGBoost, random forest, CatBoost, and logistic regression-were trained to assess feature importance and develop a predictive classifier. An ensemble of these four models was used as the final predictive model. The ensemble model identified clinically significant patients for prediction or exclusion.

Results

A total of 106 eyes fro

SUBMITTER: Kim MS 

PROVIDER: S-EPMC11771522 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature