ABSTRACT Objective: To pay a scientific tribute to Dr. Yaron Rabinowitz by enhancing his PA/I-S index through machine learning-based predictive models using the Applied Artificial Intelligence (A²I) methodology. Methods: A retrospective study with 2,705 eyes (1,680 normal and 1,025 VAE) to develop a predictive model (AI Tribute) following the KDD knowledge discovery framework, whose performance was assessed in two clinical scenarios – Normal versus Clinical Ectasia (KC+VAE-E) (N=3,335) and Normal versus VAE-NT (N=2,231) – by AUC and the DeLong test. […]
