Angelika Eisele‐Metzger

Large language models for conducting systematic reviews: on the rise, but not yet ready for use—a scoping review

2025 · 74 Zit. · Journal of Clinical Epidemiology

Opportunities, challenges and risks of using artificial intelligence for evidence synthesis

2025 · 21 Zit. · BMJ evidence-based medicine

Position statement on artificial intelligence (AI) use in evidence synthesis across Cochrane, the Campbell Collaboration, JBI and the Collaboration for Environmental Evidence 2025

2025 · 7 Zit. · Cochrane Database of Systematic Reviews

Exploring the potential of Claude 2 for risk of bias assessment: Using a large language model to assess randomized controlled trials with RoB 2

2024 · 5 Zit. · medRxiv

Position Statement on Artificial Intelligence (AI) Use in Evidence Synthesis Across Cochrane, the Campbell Collaboration, JBI, and the Collaboration for Environmental Evidence 2025

2025 · 4 Zit. · Campbell Systematic Reviews

Position statement on artificial intelligence (AI) use in evidence synthesis across Cochrane, the Campbell Collaboration, JBI and the Collaboration for Environmental Evidence 2025

2025 · 3 Zit. · Environmental Evidence

Position statement on artificial intelligence (AI) use in evidence synthesis across Cochrane, the Campbell Collaboration, JBI, and the Collaboration for Environmental Evidence 2025

2025 · 2 Zit. · JBI Evidence Synthesis

Large language models for conducting systematic reviews: on the rise, but not yet ready for use – a scoping review

2024 · 1 Zit. · medRxiv

<p>Cochrane Evaluation of (Semi-) Automated Review Methods (CESAR): Protocol for an Adaptive Platform Study within Reviews</p>

2026 · 0 Zit. · SSRN Electronic Journal

Cochrane Evaluation of (Semi-) Automated Review Methods (CESAR): Protocol for an adaptive platform study within reviews

2026 · 0 Zit. · medRxiv