The current and future roles of artificial intelligence in pediatric radiology
| Autor: | Ramesh S. Iyer, Erin K. Romberg, Michael M. Moore, Francisco A. Perez, Jeffrey P. Otjen |
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| Rok vydání: | 2021 |
| Předmět: |
03 medical and health sciences
Pediatric Radiology 0302 clinical medicine business.industry Interpretation (philosophy) Pediatrics Perinatology and Child Health Medicine Radiology Nuclear Medicine and imaging Artificial intelligence business 030217 neurology & neurosurgery 030218 nuclear medicine & medical imaging |
| Zdroj: | Pediatric Radiology. 52:2065-2073 |
| ISSN: | 1432-1998 0301-0449 |
| DOI: | 10.1007/s00247-021-05086-9 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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