AIMC Topic: Systematic Reviews as Topic
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Machine learning-assisted literature screening for a medication-use process-related systematic review.
American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
May 21, 2025
PURPOSE: This article summarizes a novel methodology of applying machine learning (ML) algorithms trained with external training data to assist with article screening for 2 annual review series related to the medication-use process (MUP) generally an...
Large Language Model-Assisted Systematic Review: Validation Based on Cochrane Review Data.
Studies in health technology and informatics
May 15, 2025
Large Language Models (LLMs) offer potential for automating systematic reviews, a labor-intensive process in evidence-based medicine. We evaluated GPT-4o, GPT-4o-mini, and Llama 3.1:8B on abstract screening and risk of bias assessment using 12 Cochra...
High-performance automated abstract screening with large language model ensembles.
Journal of the American Medical Informatics Association : JAMIA
May 1, 2025
OBJECTIVE: screening is a labor-intensive component of systematic review involving repetitive application of inclusion and exclusion criteria on a large volume of studies. We aimed to validate large language models (LLMs) used to automate abstract sc...
Enhancing systematic literature reviews with generative artificial intelligence: development, applications, and performance evaluation.
Journal of the American Medical Informatics Association : JAMIA
Apr 1, 2025
OBJECTIVES: We developed and validated a large language model (LLM)-assisted system for conducting systematic literature reviews in health technology assessment (HTA) submissions.
Collaborative large language models for automated data extraction in living systematic reviews.
Journal of the American Medical Informatics Association : JAMIA
Apr 1, 2025
OBJECTIVE: Data extraction from the published literature is the most laborious step in conducting living systematic reviews (LSRs). We aim to build a generalizable, automated data extraction workflow leveraging large language models (LLMs) that mimic...
Automated tools for systematic review screening methods: an application of machine learning for sexual orientation and gender identity measurement in health research.
Journal of the Medical Library Association : JMLA
Jan 14, 2025
OBJECTIVE: Sexual and gender minority (SGM) populations experience health disparities compared to heterosexual and cisgender populations. The development of accurate, comprehensive sexual orientation and gender identity (SOGI) measures is fundamental...
A question-answering framework for automated abstract screening using large language models.
Journal of the American Medical Informatics Association : JAMIA
Sep 1, 2024
OBJECTIVE: This paper aims to address the challenges in abstract screening within systematic reviews (SR) by leveraging the zero-shot capabilities of large language models (LLMs).
Towards Autonomous Living Meta-Analyses: A Framework for Automation of Systematic Review and Meta-Analyses.
Studies in health technology and informatics
Aug 22, 2024
Systematic review and meta-analysis constitute a staple of evidence-based medicine, an obligatory step in developing the guideline and recommendation document. It is a formalized process aiming at extracting and summarizing knowledge from the publish...
Artificial Intelligence in Dental Caries Diagnosis and Detection: An Umbrella Review.
Clinical and experimental dental research
Aug 1, 2024
BACKGROUND AND AIM: Dental caries is largely preventable, yet an important global health issue. Numerous systematic reviews have summarized the efficacy of artificial intelligence (AI) models for the diagnosis and detection of dental caries. Therefor...
Screening Automation in Systematic Reviews: Analysis of Tools and Their Machine Learning Capabilities.
Studies in health technology and informatics
Apr 26, 2024
Systematic reviews provide robust evidence but require significant human labor, a challenge that can be mitigated with digital tools. This paper focuses on machine learning (ML) support for the title and abstract screening phase, the most time-intens...
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