Universität für Weiterbildung Krems

Artificial Intelligence in Orthopedic Radiography Analysis: A Narrative Review

Kenneth Chen, Christoph Stotter, Thomas Klestil et al.

2022 · 48 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 · 48 Zit.

Artificial intelligence‐based computer‐aided system for knee osteoarthritis assessment increases experienced orthopaedic surgeons’ agreement rate and accuracy

Maria Anna Smolle, Christoph Goetz, Dietmar Maurer et al.

2022 · 34 Zit.

Artificial-Intelligence-Aided Radiographic Diagnostic of Knee Osteoarthritis Leads to a Higher Association of Clinical Findings with Diagnostic Ratings

Markus Neubauer, Lukas B. Moser, Johannes Neugebauer et al.

2023 · 25 Zit.

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

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

2025 · 23 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 · 22 Zit.

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

Birgit Pohn, Lars Mehnen, Sebastian Fitzek et al.

2025 · 13 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 · 13 Zit.

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

Gerald Gartlehner, Shannon Kugley, Karen Crotty et al.

2025 · 11 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.

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 · 8 Zit.

Forms of understanding for XAI-Explanations

Hendrik Buschmeier, Heike M. Buhl, Friederike Kern et al.

2025 · 8 Zit.

Results of a Global Survey on the State of Interventional Radiology 2024

Justin J. Guan, Tarig Elhakim, Monica M. Matsumoto et al.

2025 · 6 Zit.

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

Nino Popkhadze

2021 · 6 Zit.