Applying a novel approach to scoping review incorporating artificial intelligence: mapping the natural history of gonorrhoea.
Journal:
BMC medical research methodology
PMID:
34488645
Abstract
BACKGROUND: Systematic and scoping literature searches are increasingly resource intensive. We present the results of a scoping review which combines the use of a novel artificial-intelligence-(AI)-assisted Medline search tool with two other 'traditional' literature search methods. We illustrate this novel approach with a case study to identify and map the range of conditions (clinical presentations, complications, coinfections and health problems) associated with gonorrhoea infection.