Research progress in intelligent diagnosis of early keratoconus based on corneal biomechanical properties

Corneal biomechanical properties have been found to be important in maintaining normal corneal structure, detecting the development and progression of ectatic diseases, screening for glaucoma, and evaluating refractive surgery.Artificial intelligence, as an important tool, has been widely applied in fields such as medicine and biology.At present, there are different diagnostic criteria for keratoconus, and the early detection and diagnosis of keratoconus are more difficult, which poses challenges to the clinical diagnosis and treatment of ophthalmologists, especially refractive engineers.In recent years, the application of artificial intelligence technology in the field of keratoconus has increased, and many advances have been made.This article reviews recent studies on the intelligent diagnosis of early keratoconus based on corneal biomechanical properties, mainly including the diagnosis of early keratoconus based on ocular response analyzer, the diagnosis of early keratoconus based on corneal visualization Scheimpflug technology, and the research progress of applying artificial intelligence to diagnose early keratoconus based on corneal biomechanical properties.The aim is to enable clinical doctors to have a deep understanding of the potential value of corneal biomechanical characteristics in improving the efficiency of early keratoconus diagnosis, and to help improve the level of intelligent diagnosis and treatment of early keratoconus.

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