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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Artificial Intelligence in Orthopedic Radiography Analysis: A Narrative Review

Kenneth Chen, Christoph Stotter, Thomas Klestil et al.

2022 · 46 Zit.

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

Viet-Thi Tran, Gerald Gartlehner, Sally Yaacoub et al.

2024 · 43 Zit.

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

Gerald Gartlehner, Leila C. Kahwati, Barbara Nußbaumer-Streit et al.

2024 · 18 Zit.

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

Waldemar Siemens, Erik von Elm, Harald Binder et al.

2025 · 18 Zit.

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

Gerald Gartlehner, Leila C. Kahwati, Rainer Hilscher et al.

2023 · 12 Zit.

Proceedings of the 10th conference on Artificial Intelligence in Medicine

Silvia Miksch, Jim Hunter, Elpida Keravnou

2005 · 10 Zit.

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

Viet-Thi Tran, Gerald Gartlehner, Sally Yaacoub et al.

2023 · 8 Zit.

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

Lisa Affengruber, Andreea Dobrescu, Emma Persad et al.

2022 · 6 Zit.

Integrating artificial intelligence into pre-clinical medical education: challenges, opportunities, and recommendations

Birgit Pohn, Lars Mehnen, Sebastian Fitzek et al.

2025 · 6 Zit.

The Good, The Bad and The Ugly: AI in the higher education

Nino Popkhadze

2021 · 6 Zit.

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

Anna H Noel-Storr, Gerald Gartlehner, Gordon Dooley et al.

2022 · 4 Zit.

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

Gerald Gartlehner, Gernot Wagner, Linda J Lux et al.

2019 · 3 Zit.

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

Ella Flemyng, Anne Norl-Storr, Biljana Macura et al.

2025 · 3 Zit.

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

Ella Flemyng, Anna H Noel-Storr, Biljana Macura et al.

2025 · 2 Zit.

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

Gerald Gartlehner, Shannon Kugley, Karen Crotty et al.

2025 · 2 Zit.