An AI-assisted algorithm for orthokeratology (OK) lens fitting demonstrates greater accuracy and efficiency compared to conventional methods, according to a study.
Researchers developed the AI-assisted corneal refractive therapy (CRT) tool to optimize OK outcomes based on corneal topography.
The study retrospectively analyzed data from 797 eyes fitted with CRT lenses demonstrating good centration and intact plus power rings. A comprehensive AI model using 9 corneal and refractive parameters and a simplified AI model omitting 4 indices were used. Predicted lens parameters from the AI models were compared with those determined by a conventional fitting method.
Results showed no significant differences between the AI-predicted parameters and the final ordered lenses. However, the AI models demonstrated stronger correlations with the final lens parameters, particularly in vertical return zone depth, landing zone angles, and total lens diameter.
The authors concluded that the model has the “potential to facilitate more efficient and precise CRT OK lens fitting.”
Reference
Zhou X, Zeng L, Shen Y, et al. Artificial intelligence-assisted fitting method using corneal topography outcomes enhances success rate in orthokeratology lens fitting. Cont Lens Anterior Eye. 2024;102350. doi: 10.1016/j.clae.2024.102350. Epub ahead of print. PMID: 39689986.
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