Accuracy of wrist fracture detection on radiographs by artificial intelligence compared to human clinicians. A systematic review and meta-analysis.

Journal: European journal of radiology

PMID: 38981178

Abstract

PURPOSE: The aim of the study is to perform a systematic review and meta-analysis comparing the diagnostic performance of artificial intelligence (AI) and human readers in the detection of wrist fractures.

Authors

Kary Suen

Department of Radiology, Austin Health, Victoria, Australia. Electronic address: kary.suen2@austin.org.au.
Richard Zhang

Laboratory of Translational RNA Biology, Department of Pathology and Molecular Medicine, Queen's University, 88 Stuart St, Kingston, ON K7L 3N6, Canada.
Numan Kutaiba

Department of Radiology, Austin Health, Heidelberg, Victoria, Australia.

Keywords

Artificial Intelligence Humans Radiography Radius Fractures Reproducibility of Results Scaphoid Bone Sensitivity and Specificity Wrist Fractures

External Resources

View on PubMed Access via DOI PubMed (38981178)

Accuracy of wrist fracture detection on radiographs by artificial intelligence compared to human clinicians. A systematic review and meta-analysis.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals