Corneal Endothelium and Tear Film Metrics Enhance the Accuracy of Machine Learning Prediction in Implantable Collamer Lens Surgery Outcomes

Key Points

• The aim is to improve the accuracy of predicting outcomes for implantable collamer lens surgery by using specific eye metrics.
• Development of the MPA-SVM ICL prediction model
• Incorporation of corneal endothelium metrics
• Integration of tear film quality parameters
• Analysis of prediction accuracy for vault and cylinder outcomes
• Significant improvement in vault prediction with corneal endothelium metrics
• Enhanced accuracy of cylinder prediction when combined with tear film parameters
• Provides valuable insights for ophthalmologists in ICL surgery planning

Abstract