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The current and future roles of artificial intelligence in pediatric radiology

  • Artificial intelligence in pediatric radiology
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Abstract

Artificial intelligence (AI) is a broad and complicated concept that has begun to affect many areas of medicine, perhaps none so much as radiology. While pediatric radiology has been less affected than other radiology subspecialties, there are some well-developed and some nascent applications within the field. This review focuses on the use of AI within pediatric radiology for image interpretation, with descriptive summaries of the literature to date. We highlight common features that enable successful application of the technology, along with some of the limitations that can inhibit the development of this field. We present some ideas for further research in this area and challenges that must be overcome, with an understanding that technology often advances in unpredictable ways.

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Authors and Affiliations

  1. Department of Radiology, Seattle Children’s Hospital, University of Washington School of Medicine, 4800 Sand Point Way NE, MA.7.220, Seattle, WA, 98105, USA

    Jeffrey P. Otjen, Erin K. Romberg, Francisco A. Perez & Ramesh S. Iyer

  2. Department of Radiology, Penn State Children’s Hospital, Penn State Health System, Hershey, PA, USA

    Michael M. Moore

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  1. Jeffrey P. Otjen
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  2. Michael M. Moore
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  5. Ramesh S. Iyer
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Correspondence to Ramesh S. Iyer.

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Otjen, J.P., Moore, M.M., Romberg, E.K. et al. The current and future roles of artificial intelligence in pediatric radiology. Pediatr Radiol 52, 2065–2073 (2022). https://doi.org/10.1007/s00247-021-05086-9

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  • DOI: https://doi.org/10.1007/s00247-021-05086-9

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