Guidance for using artificial intelligence for title and abstract screening while conducting knowledge syntheses.

ABSTRACT:

Background

Systematic reviews are the cornerstone of evidence-based medicine. However, systematic reviews are time consuming and there is growing demand to produce evidence more quickly, while maintaining robust methods. In recent years, artificial intelligence and active-machine learning (AML) have been implemented into several SR software applications. As some of the barriers to adoption of new technologies are the challenges in set-up and how best to use these technologies, we have provided different situations and considerations for knowledge synthesis teams to consider when using artificial intelligence and AML for title and abstract screening.

Methods

We retrospectively evaluated the implementation and performance of AML across a set of ten historically completed syste

SUBMITTER: Hamel C 

PROVIDER: S-EPMC8686081 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature