Gerald Gartlehner

Sensitivity and Specificity of Using GPT-3.5 Turbo Models for Title and Abstract Screening in Systematic Reviews and Meta-analyses

2024 · 44 Zit. · Annals of Internal Medicine

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

2025 · 19 Zit. · BMJ evidence-based medicine

From promise to practice: challenges and pitfalls in the evaluation of large language models for data extraction in evidence synthesis

2024 · 18 Zit. · BMJ evidence-based medicine

Data Extraction for Evidence Synthesis Using a Large Language Model: A Proof-of-Concept Study

2023 · 12 Zit. · medRxiv

Sensitivity, specificity and avoidable workload of using a large language models for title and abstract screening in systematic reviews and meta-analyses

2023 · 8 Zit. · medRxiv

Characteristics and recovery methods of studies falsely excluded during literature screening—a systematic review

2022 · 6 Zit. · Systematic Reviews

Crowdsourcing the identification of studies for <scp>COVID</scp>‐19‐related Cochrane Rapid Reviews

2022 · 4 Zit. · Research Synthesis Methods

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. · Cochrane Database of Systematic Reviews

Assessing the Accuracy of Machine-Assisted Abstract Screening With DistillerAI: A User Study. Methods Research Report

2019 · 3 Zit.

Artificial Intelligence–Assisted Data Extraction With a Large Language Model: A Study Within Reviews

2025 · 3 Zit. · Annals of Internal 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 · 2 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 · 1 Zit. · JBI Evidence Synthesis

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

2025 · 1 Zit. · Campbell Systematic Reviews

Responsible Integration of Artificial Intelligence in Rapid Reviews: A Position Statement From the Cochrane Rapid Reviews Methods Group

2025 · 1 Zit. · Cochrane Evidence Synthesis and Methods