Purpose or Case Report: 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.
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Conclusions: While imaging AI is growing at an accelerating pace, pediatrics have been a somewhat neglected demographic within this revolution. This poster aims to provide a detailed overview of the current landscape of AI in pediatric radiology with highlights and cautions about its status, as well as proposing actionable steps to close the gap in offerings for pediatric patients in contrast to adults.