In his work The Singularity is Near, futurist Ray Kurzweil [1] extrapolates the accelerating trends in technology to the field of artificial intelligence (AI) and postulates a future `singularity` in which AI abruptly and exponentially exceeds human capacity. To date, most AI applications in medicine have focused on machine learning (ML) involving algorithms trained to recognize correlations within existing data and to make inferences to learn and perform new tasks based on new data. Also emerging is deep learning (DL) in which algorithms use large data sets to autonomously model multilayered, high-level abstractions from data inspired by human brain function, using constructs such as artificial neural networks (ANNs).