AIMC Topic: Systematic Reviews as Topic
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Automated screening of research studies for systematic reviews using study characteristics.
Systematic reviews
Apr 25, 2018
BACKGROUND: Screening candidate studies for inclusion in a systematic review is time-consuming when conducted manually. Automation tools could reduce the human effort devoted to screening. Existing methods use supervised machine learning which train ...
Technology-assisted title and abstract screening for systematic reviews: a retrospective evaluation of the Abstrackr machine learning tool.
Systematic reviews
Mar 12, 2018
BACKGROUND: Machine learning tools can expedite systematic review (SR) processes by semi-automating citation screening. Abstrackr semi-automates citation screening by predicting relevant records. We evaluated its performance for four screening projec...
Technology-assisted risk of bias assessment in systematic reviews: a prospective cross-sectional evaluation of the RobotReviewer machine learning tool.
Journal of clinical epidemiology
Dec 28, 2017
OBJECTIVES: To evaluate the reliability of RobotReviewer's risk of bias judgments.
Extractive text summarization system to aid data extraction from full text in systematic review development.
Journal of biomedical informatics
Oct 27, 2016
OBJECTIVES: Extracting data from publication reports is a standard process in systematic review (SR) development. However, the data extraction process still relies too much on manual effort which is slow, costly, and subject to human error. In this s...
SWIFT-Review: a text-mining workbench for systematic review.
Systematic reviews
May 23, 2016
BACKGROUND: There is growing interest in using machine learning approaches to priority rank studies and reduce human burden in screening literature when conducting systematic reviews. In addition, identifying addressable questions during the problem ...
Collating the knowledge base for core outcome set development: developing and appraising the search strategy for a systematic review.
BMC medical research methodology
Mar 29, 2015
BACKGROUND: The COMET (Core Outcome Measures in Effectiveness Trials) Initiative is developing a publicly accessible online resource to collate the knowledge base for core outcome set development (COS) and the applied work from different health condi...
Enhancing search strategies for systematic reviews on drug Harms: An evaluation of the utility of ChatGPT in error detection and keyword generation.
Computers in biology and medicine
Jul 1, 2025
OBJECTIVE: Developing search strategies for synthesizing evidence on drug harms requires specialized expertise and knowledge. The aim of this study was to evaluate ChatGPT's ability to enhance search strategies for systematic reviews of drug harms by...
A systematic methodological evaluation of sepsis guidelines: Protocol for quality assessment and consistency of recommendations.
Acta anaesthesiologica Scandinavica
Jul 1, 2025
BACKGROUND: Sepsis is a leading cause of mortality worldwide, characterized by a dysregulated host response to infection. Despite the development of multiple clinical practice guidelines (CPGs) to standardize sepsis management, substantial variabilit...
Artificial intelligence for difficult airway assessment: a protocol for a systematic review with meta-analysis.
BMJ open
Jun 10, 2025
INTRODUCTION: Identifying difficult airways and avoiding unanticipated difficult airways through difficult airway assessment are crucial for patient safety prior to airway management. Therefore, accurately predicting difficult airways through airway ...
AI-DRIVEN NASOALVEOLAR MOLDING DESIGN FOR CLEFT PATIENTS MAY BE A PROMISING BUT EVOLVING APPROACH.
The journal of evidence-based dental practice
Jun 1, 2025
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Artificial intelligence-driven automation of nasoalveolar molding device planning: A systematic review. Alqutaibi AY, Hamadallah HH, Alassaf MS, Othman AA, Qazali AA, Alghauli MA. J Prosthet Dent. 2024 Oct...
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