Artificial Intelligence-assisted reader evaluation in acute CT head interpretation (AI-REACT): a multireader multicase study

Abstract excerpt

<h4>Background</h4> Non-contrast CT head scans (NCCTH) are the most frequently requested cross-sectional imaging in the Emergency Department. While AI tools have been developed to detect NCCTH abnormalities, most validation studies compare AI to radiologists, with limited evidence on the impact of AI assistance for other healthcare professionals. <h4>Objective</h4> To evaluate whether an AI-powered tool improves...

Topics

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• Electronic Health Records
• Hospitalization
• Natural Language Processing
• Phenotype
• Radiomics and Machine Learning in Medical Imaging
• Reproducibility of Results
• Republic of Korea
• Stroke

Identifiers and source

Literature Corpus work

7e607417-e546-5ad1-85fe-114d463400e0

DOI

10.1101/2025.10.17.25337471