Using text mining for study identification in systematic reviews: a systematic review of current approaches
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 …
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
Artificial intelligence (AI) has acquired notorious relevance in modern computing as it
effectively solves complex tasks traditionally done by humans. AI provides methods to …
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
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** …
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 …
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
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 …
inclusion/exclusion criteria to decide whether each article in a set of candidate articles is …
[HTML][HTML] Screening articles for systematic reviews with ChatGPT
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 …
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
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 …
performance of Abstrackr, a semi-automated online tool for predictive title and abstract …
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 …
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 …
[HTML][HTML] What do patients say about doctors online? A systematic review of studies on patient online reviews
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 …
PORs have played an increasingly important role in patients' choice of health care providers …