Using text mining for study identification in systematic reviews: a systematic review of current approaches

A O'Mara-Eves, J Thomas, J McNaught, M Miwa… - Systematic reviews, 2015 - Springer
Background The large and growing number of published studies, and their increasing rate of
publication, makes the task of identifying relevant studies in an unbiased way for inclusion in …

Artificial intelligence to automate the systematic review of scientific literature

J de la Torre-López, A Ramírez, JR Romero - Computing, 2023 - Springer
Artificial intelligence (AI) has acquired notorious relevance in modern computing as it
effectively solves complex tasks traditionally done by humans. AI provides methods to …

[HTML][HTML] The future of work of academics in the age of Artificial Intelligence: State-of-the-art and a research roadmap

M Renkema, A Tursunbayeva - Futures, 2024 - Elsevier
Abstract The Future of Work (FoW) has garnered significant attention among scholars and
practitioners, with the advent of Artificial Intelligence (AI) playing an important role in sha** …

Psychosocial interventions for mental and substance use disorders: A framework for establishing evidence-based standards

ML Gonzalez, AS Butler, MJ England - 2015 - books.google.com
Mental health and substance use disorders affect approximately 20 percent of Americans
and are associated with significant morbidity and mortality. Although a wide range of …

SWIFT-Active Screener: Accelerated document screening through active learning and integrated recall estimation

BE Howard, J Phillips, A Tandon, A Maharana… - Environment …, 2020 - Elsevier
Background In the screening phase of systematic review, researchers use detailed
inclusion/exclusion criteria to decide whether each article in a set of candidate articles is …

[HTML][HTML] Screening articles for systematic reviews with ChatGPT

E Syriani, I David, G Kumar - Journal of Computer Languages, 2024 - Elsevier
Systematic reviews (SRs) provide valuable evidence for guiding new research directions.
However, the manual effort involved in selecting articles for inclusion in an SR is error-prone …

Faster title and abstract screening? Evaluating Abstrackr, a semi-automated online screening program for systematic reviewers

J Rathbone, T Hoffmann, P Glasziou - Systematic reviews, 2015 - Springer
Background Citation screening is time consuming and inefficient. We sought to evaluate the
performance of Abstrackr, a semi-automated online tool for predictive title and abstract …

Prioritising references for systematic reviews with RobotAnalyst: a user study

P Przybyła, AJ Brockmeier… - Research synthesis …, 2018 - Wiley Online Library
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 …

CSMed: Bridging the dataset gap in automated citation screening for systematic literature reviews

W Kusa, OE Mendoza, M Samwald… - Advances in …, 2024 - proceedings.neurips.cc
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 …

[HTML][HTML] What do patients say about doctors online? A systematic review of studies on patient online reviews

YA Hong, C Liang, TA Radcliff, LT Wigfall… - Journal of medical …, 2019 - jmir.org
Background: The number of patient online reviews (PORs) has grown significantly, and
PORs have played an increasingly important role in patients' choice of health care providers …