  Diagnostic Captioning (DC) concerns the automatic generation of a diagnostic
text from a set of medical images of a patient collected during an examination.
DC can assist inexperienced physicians, reducing clinical errors. It can also
help experienced physicians produce diagnostic reports faster. Following the
advances of deep learning, especially in generic image captioning, DC has
recently attracted more attention, leading to several systems and datasets.
This article is an extensive overview of DC. It presents relevant datasets,
evaluation measures, and up to date systems. It also highlights shortcomings
that hinder DC's progress and proposes future directions.
