English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Medical systematic reviews typically require assessing all the documentsretrieved by a search. The reason is two-fold: the task aims for ``totalrecall''; and documents retrieved using Boolean search are an unordered set,and thus it is unclear how an assessor could examine only a subset. Screeningprioritisation is the process of ranking the (unordered) set of retrieveddocuments, allowing assessors to begin the downstream processes of thesystematic review creation earlier, leading to earlier completion of thereview, or even avoiding screening documents ranked least relevant.  Screening prioritisation requires highly effective ranking methods.Pre-trained language models are state-of-the-art on many IR tasks but have yetto be applied to systematic review screening prioritisation. In this paper, weapply several pre-trained language models to the systematic review documentranking task, both directly and fine-tuned. An empirical analysis compares howeffective neural methods compare to traditional methods for this task. We alsoinvestigate different types of document representations for neural methods andtheir impact on ranking performance.  Our results show that BERT-based rankers outperform the currentstate-of-the-art screening prioritisation methods. However, BERT rankers andexisting methods can actually be complementary, and thus, further improvementsmay be achieved if used in conjunction.

Neural Rankers for Effective Screening Prioritisation in Medical Systematic Review Literature Search