Real-life benefit of artificial intelligence-based fracture detection in a pediatric emergency department

Question Does an artificial intelligence-based software for fracture detection influence inexperienced physicians in a real-life pediatric trauma population? Findings Addition of a well-performing artificial intelligence-based software led to a limited increase in diagnostic accuracy of inexperienced human readers. Clinical relevance Diagnosing fractures in children is especially challenging for less experienced physicians. High-performing artificial intelligence-based software as a "second set of eyes," enhances diagnostic accuracy in a common pediatric emergency room setting.

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Publication Details

Journal
European Radiology
Published
2025-04-07
DOI
https://doi.org/10.1007/s00330-025-11554-9
Citations
14
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
9.16
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article

Real-life benefit of artificial intelligence-based fracture detection in a pediatric emergency department

Martin Lacher, Maciej Rosołowski, Daniel Gräfe, W. Hirsch et al.
14 citations
European Radiology
Artificial Intelligence in Healthcare and Education
9.16
article

Real-life benefit of artificial intelligence-based fracture detection in a pediatric emergency department

Martin Lacher, Maciej Rosołowski, Daniel Gräfe, W. Hirsch, J Pape, Annika Brandau, Steffi Mayer, Maria Ziegner, Tibor Kelety
article en
14 citations

Abstract

Question Does an artificial intelligence-based software for fracture detection influence inexperienced physicians in a real-life pediatric trauma population? Findings Addition of a well-performing artificial intelligence-based software led to a limited increase in diagnostic accuracy of inexperienced human readers. Clinical relevance Diagnosing fractures in children is especially challenging for less experienced physicians. High-performing artificial intelligence-based software as a "second set of eyes," enhances diagnostic accuracy in a common pediatric emergency room setting.

European RadiologyVol. 35(10)
University Hospital Leipzig (DE), Leipzig University (DE)
Openalex Percentile: Top 2%
Artificial Intelligence in Healthcare and Education
9.16
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Real-life benefit of artificial intelligence-based fracture detection in a pediatric emergency department — Martin Lacher, Maciej Rosołowski, et al. · European Radiology (2025) | TGRS Research Map | TGRS