The current and future roles of artificial intelligence in pediatric radiology

Jeffrey P. Otjen, Michael M. Moore, Erin K. Romberg, Francisco A. Perez, Ramesh S. Iyer

Research output: Contribution to journalReview articlepeer-review

7 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)2065-2073
Number of pages9
JournalPediatric Radiology
Issue number11
StatePublished - Oct 2022

All Science Journal Classification (ASJC) codes

  • Pediatrics, Perinatology, and Child Health
  • Radiology Nuclear Medicine and imaging


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