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Related Experiment Video

Updated: Apr 23, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Automatic evidence retrieval for systematic reviews.

Miew Keen Choong¹, Filippo Galgani, Adam G Dunn

¹Centre for Health Informatics, Australian Institute of Health Innovation, University of New South Wales, Kensington NSW, Australia.

Journal of Medical Internet Research

|October 3, 2014

Summary

This summary is machine-generated.

An automated citation snowballing method accurately identifies and retrieves scholarly articles. This approach enhances evidence surveillance tasks like systematic reviews by saving time and effort.

Keywords:

evidence-based medicine information storage and retrieval medical informatics

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Area of Science:

Information Science
Bibliometrics
Scientific Literature Analysis

Background:

Citation snowballing is a best practice in systematic reviews for discovering additional evidence.
This method involves recursively searching cited references.
However, manual snowballing is time-consuming and tedious.

Purpose of the Study:

To evaluate an automated method for citation snowballing.
To assess its capacity for identifying and retrieving cited articles (full text/abstracts).

Main Methods:

A manual search of Microsoft Academic Search (MAS) was performed on 949 citations from 20 review articles.
An automatic citation snowballing method was compared against manual search results.
Performance was measured using precision, recall, and F1 score.

Main Results:

The automatic method achieved high precision (97.7%) and identified 633 citations.
It retrieved full text or abstracts for 490 of these identified citations with high accuracy.
Recall and F1 scores demonstrated significant effectiveness in citation retrieval.

Conclusions:

The automated citation snowballing method is accurate and efficient.
It retrieves a substantial proportion of scholarly citations and their abstracts/full texts.
Automation can reduce time and effort for evidence surveillance and systematic reviews.