Machine Learning Techniques in Keratoconus Classification: A Systematic Review

Machine learning (ML) algorithms are being integrated into several disciplines. Ophthalmology is one field of health sector that has benefited from the advantages and capacities ML in processing different types data. In a large number studies, detection classification various diseases, such as keratoconus, was carried out by analyzing corneal characteristics, data (images, measurements, etc.), using tools. The main objective this study to conduct rigorous systematic review use techniques keratoconus. Papers considered were selected carefully Scopus Web Science digital databases, according their content adoption methods studies reviewed identify implemented handled diagnosis A total 38 articles, published between 2005 2022, retained for discussion content.