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Leveraging AI to improve evidence synthesis in conservation · Study

ReviewLeveraging AI to improve evidence synthesis in conservation

Oded Berger‐Tal2024

OA

Reviewbronze2024

Leveraging AI to improve evidence synthesis in conservation

Oded Berger‐Tal · Bob B. M. Wong · Carrie Ann Adams · Daniel T. Blumstein · Ulrika Candolin · Matthew Gibson +7 more

43 citations·0/0 files stored·Trends in Ecology & Evolution

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Meta-analysis and systematic reviews Academic Publishing and Open Access Diverse Interdisciplinary Research Innovations

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References

2016Rayyan—a web and mobile app for systematic reviews 2021An open source machine learning framework for efficient and transparent systematic reviews 2018ROSES RepOrting standards for Systematic Evidence Syntheses: pro forma, flow-diagram and descriptive summary of the plan and conduct of environmental systematic reviews and systematic maps 2021Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension 2019Toward systematic review automation: a practical guide to using machine learning tools in research synthesis 2014Living Systematic Reviews: An Emerging Opportunity to Narrow the Evidence-Practice Gap 2014Systematic review automation technologies 2016What are the best methodologies for rapid reviews of the research evidence for evidence-informed decision making in health policy and practice: a rapid review

Cited by

2024Beyond the Hype: Navigating the Conservation Implications of Artificial Intelligence 2025Will AI speed up literature reviews or derail them entirely?2025Testing the utility of GPT for title and abstract screening in environmental systematic evidence synthesis

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Details

Year2024

Typereview

Published2024-05-24

VenueTrends in Ecology & Evolution

ISSN-L0169-5347

Languageen

Citations43

Files0 public / 0

ShelfMeta-analysis and systematic reviews

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doi10.1016/j.tree.2024.04.007

openalex_workW4398764101

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