Learning on the job: using Artificial Intelligence to support rapid review methods

Abstract

The National Collaborating Centre for Methods and Tools’ (NCCMT) Rapid Evidence Service conducts rapid reviews on priority questions to respond to the needs of public health decision-makers. Given the vast quantity of literature available, a key challenge of conducting rapid evidence syntheses is the time and effort required to manually screen large search results sets to identify and include all studies relevant to the research question within an accelerated timeline. To overcome this challenge, the NCCMT investigated the integration of artificial intelligence (AI) technologies into the title and abstract screening stage of the rapid review process to expedite the identification of studies relevant to the research question. The NCCMT is funded by the Public Health Agenda of Canada and affiliated with McMaster University.

Keywords

• public health
• rapid review
• Artificial Intelligence