A n artificial intelligence (AI) algorithm may allow clinicians to predict risk of keratoconus progression with more than 90% accuracy, according to a retrospective study.

The outcome of RFCA was used as the gold standard for algorithm performance and was defined as non-inducibility of the clinical arrhythmia at the end of the procedure, with or without isoproterenol ...