Congress:
ECR24
Poster Number:
C-17087
Type:
EPOS Radiologist (scientific)
DOI:
10.26044/ecr2024/C-17087
Authorblock:
F. Souschek, P. Mildenberger, L. Müller, T. Jorg, M. C. Halfmann; Mainz/DE
Disclosures:
Fabio Souschek:
Nothing to disclose
Peter Mildenberger:
Nothing to disclose
Lukas Müller:
Nothing to disclose
Tobias Jorg:
Nothing to disclose
Moritz Christian Halfmann:
Nothing to disclose
Keywords:
Artificial Intelligence, Thorax, Plain radiographic studies, Comparative studies, Quality assurance
Artificial intelligence is a rapidly evolving tool in radiology that can significantly increase efficiency and decrease costs. However, the diagnostic accuracy of AI tools across all population subgroups is essential for clinical usage. Recent studies have raised doubts about the generalizability of artificial intelligence (AI) tools in clinical applications outside their narrow training corridors [1]. Therefore, this study aimed to compare the diagnostic performance of AI between supine chest X-rays of intensive care unit patients and posteroanterior (PA) radiographs.