Select your language

AI to improve the exploration of grey literature

KCE - NEED Report 416

New report: how can AI improve the exploration of grey literature?

Grey literature — whether reports from authorities, local studies, or documents produced by interest groups — often contains valuable information that cannot be found in peer-reviewed journals or standard databases, including, for example, negative study results or findings published in languages other than English.

For NEED projects, it is an essential source for obtaining a complete picture of patients’ needs.

🤖 Can AI help researchers find this important data that might otherwise be overlooked, and if so, how? Find out in our new report!

Link to the report

About NEED

NEED is financially supported by the Belgian Federal Science Policy (BELSPO) through the INFRA-FED call.

 logo belspo

Project coordinators

dr. Irina Cleemput

KCE

irina.cleemput@kce.fgov.be

prof. dr. Robby De Pauw

Sciensano, Department of Epidemiology and Public Health, Service Health Information

robby.depauw@sciensano.be