Using Artificial Intelligence for an Efficient Prediction of Outcomes of Deep Anterior Lamellar Keratoplasty (DALK) in Advanced Keratoconus.

Journal: Translational vision science & technology

Published Date: May 1, 2025

Abstract

PURPOSE: To identify and analyze clinical risk factors and imaging parameters influencing the outcomes of deep anterior lamellar keratoplasty (DALK) for advanced keratoconus (KC) using an artificial intelligence (AI) model.

Authors

Gairik Kundu
Sharon D'Souza

Department of Cornea and Refractive surgery, Narayana Nethralaya, Bangalore, India.
Durgalaxmi Modak

Department of Cornea and Refractive Surgery, Narayana Nethralaya, Bangalore, India.
Srihari Balaraj

Department of Cornea and Refractive Surgery, Narayana Nethralaya, Bangalore, India.
Rohit Shetty
Rudy M M A Nuijts
Raghav Narasimhan
Abhijit Sinha Roy

Imaging, Biomechanics and Mathematical Modeling Solutions, Narayana Nethralaya Foundation, Bangalore, India.

Keywords

Adolescent Adult Artificial Intelligence Cornea Corneal Transplantation Female Humans Keratoconus Male Middle Aged Risk Factors Treatment Outcome Visual Acuity Young Adult

External Resources

View on PubMed Access via DOI PubMed (40434371)

Using Artificial Intelligence for an Efficient Prediction of Outcomes of Deep Anterior Lamellar Keratoplasty (DALK) in Advanced Keratoconus.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals