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Society for Pediatric Radiology – Poster Archive


Douglas Spaeth-cook

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Showing 1 Abstract.

Artificial Intelligence (AI) holds great promise in pediatric radiology, but its adoption has been slower compared to adult imaging. Although a 2022 special issue of Pediatric Radiology highlighted potential AI applications, the number of FDA-cleared AI algorithms for pediatric radiology remains limited. As of October 2024, out of 333 FDA-cleared AI Software-as-a-Medical-Device (SaMD) tools, only 26 (8%) are applicable to pediatric imaging, despite children comprising 22% of the U.S. population. More strikingly, only three (<1%) of these SaMD tools are specifically designed for pediatric use, focusing on dental cavity detection, bone age assessment, and hip dysplasia. This educational exhibit showcases the different types of FDA-cleared SaMD AI algorithms designated for use in pediatric radiology and identifies the clinical needs being served as well as those that have yet to be addressed. Additionally, the exhibit will explore the discordance in the development of AI imaging tools for the pediatric population compared to adults, highlighting risks created by this gap and addressing the reasons for such a disparity. Read More

Meeting name: SPR 2025 Annual Meeting , 2025

Authors: Lall Neil, Spaeth-cook Douglas, Ho Mai Lan, Zucker Evan

Keywords: Artificial Intelligence, Pediatric Radiology, Informatics