We reviewed 393 papers in the intersection of pharmacovigilance (PV) and machine learning, and most involved signal detection as opposed to data intake or data analysis.

There has been a rapid rise in the use of deep learning in the PV literature, but corresponding dramatic success has not been seen in other fields such as computer vision, natural language processing, and healthcare.

There are opportunities to implement machine learning approaches throughout the PV pipeline.