AI-assisted diagnosis of vulvovaginal candidiasis using cascaded neural networks

Abstract

A cascaded deep neural network model was developed for slide-level diagnosis of vulvovaginal candidiasis (VVC), demonstrating superior diagnostic accuracy compared to experts. Experts significantly enhanced their diagnostic accuracies by utilizing our model as an AI-assisted tool. Therefore, this model holds potential for clinical application to aid in the diagnosis of VVC.