Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction

Abstract

Artificial intelligence prediction accuracy can be reduced with new data. Here, the authors utilise conformal prediction to reduce incorrect predictions in histopathological analysis of prostate cancer biopsies.