Literature reviews are crucial in the choice of the best personalized material type and restauration type in restorative dentistry. We developed an IBM-Watson based system to support literature search for restorative dentistry, and compared its results to a literature search performed by a trained professional. We found that our system could assist the researcher in performing a literature review, but the grounding semantic model needs to be refined in order to provide more extensive results.
Keywords: Literature review; cognitive computing; restorative dentistry.