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Opportunities and challenges for ChatGPT and large language models in biomedicine and health
ChatGPT has drawn considerable attention from both the general public and domain experts
with its remarkable text generation capabilities. This has subsequently led to the emergence …
with its remarkable text generation capabilities. This has subsequently led to the emergence …
Can ChatGPT write a good boolean query for systematic review literature search?
Systematic reviews are comprehensive literature reviews for a highly focused research
question. These reviews are considered the highest form of evidence in medicine. Complex …
question. These reviews are considered the highest form of evidence in medicine. Complex …
[HTML][HTML] Search strategy formulation for systematic reviews: Issues, challenges and opportunities
Systematic literature reviews play a vital role in identifying the best available evidence for
health and social care research, policy, and practice. The resources required to produce …
health and social care research, policy, and practice. The resources required to produce …
CSMeD: bridging the dataset gap in automated citation screening for systematic literature reviews
Systematic literature reviews (SLRs) play an essential role in summarising, synthesising and
validating scientific evidence. In recent years, there has been a growing interest in using …
validating scientific evidence. In recent years, there has been a growing interest in using …
Prioritising references for systematic reviews with RobotAnalyst: a user study
Screening references is a time‐consuming step necessary for systematic reviews and
guideline development. Previous studies have shown that human effort can be reduced by …
guideline development. Previous studies have shown that human effort can be reduced by …
Overview of the CLEF eHealth evaluation lab 2019
In this paper, we provide an overview of the seventh annual edition of the CLEF eHealth
evaluation lab. CLEF eHealth 2019 continues our evaluation resource building efforts …
evaluation lab. CLEF eHealth 2019 continues our evaluation resource building efforts …
Neural rankers for effective screening prioritisation in medical systematic review literature search
Medical systematic reviews typically require assessing all the documents retrieved by a
search. The reason is two-fold: the task aims for “total recall”; and documents retrieved using …
search. The reason is two-fold: the task aims for “total recall”; and documents retrieved using …
Improving reference prioritisation with PICO recognition
Background Machine learning can assist with multiple tasks during systematic reviews to
facilitate the rapid retrieval of relevant references during screening and to identify and …
facilitate the rapid retrieval of relevant references during screening and to identify and …
Goldilocks: Just-right tuning of bert for technology-assisted review
Technology-assisted review (TAR) refers to iterative active learning workflows for document
review in high recall retrieval (HRR) tasks. TAR research and most commercial TAR …
review in high recall retrieval (HRR) tasks. TAR research and most commercial TAR …
[HTML][HTML] Using a neural network-based feature extraction method to facilitate citation screening for systematic reviews
Citation screening is a labour-intensive part of the process of a systematic literature review
that identifies citations eligible for inclusion in the review. In this paper, we present an …
that identifies citations eligible for inclusion in the review. In this paper, we present an …