Performance of an adult-trained AI tool for intracranial hemorrhage detection on head CT in children aged 6-17 years.

Joseph Cavallo¹, Andrew Sher^2,3, Danling Chen⁴, Jerome Avondo⁵, Marla Sammer^2,3

¹Department of Radiology, Yale University, New Haven, 330 Cedar Street, TE 2-212, 06520, USA. joseph.cavallo@yale.edu.

²Department of Radiology, Texas Children's Hospital, Houston, USA.

³Department of Radiology, Baylor College of Medicine, Houston, USA.

⁴Department of Radiology, Yale University, New Haven, 330 Cedar Street, TE 2-212, 06520, USA.

⁵AIDOC Medical, New York, USA.

PubMed DOI

Abstract

BACKGROUND: Most commercially available artificial intelligence (AI) tools in radiology are trained and approved for adult use, creating an access gap for pediatric patients. Intracranial hemorrhage (ICH) detection is a common adult AI application without pediatric FDA clearance. OBJECTIVE: To evaluate the performance of an FDA-cleared, adult-trained AI tool for ICH detection on non-contrast head…

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