Siddhi Ramesh BA, James M. Dolezal MD, Alexander T. Pearson MD, PhD
In recent years, an exponential increase in data and computational infrastructure across all of medicine has led to significant momentum and interest in developing new methods for data analysis. The use of artificial intelligence (AI) and machine learning (ML) methodologies have continued to grow across many areas within medicine. Specific methodologies such as deep learning (DL) now enable the efficient analysis of complex data to solve issues with large-scale image classification, free text natural language processing, and signal processing.1