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Version 1
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Artificial Intelligence and Pediatrics: Synthetic Knowledge Synthesis
Version 1
: Received: 7 January 2024 / Approved: 8 January 2024 / Online: 8 January 2024 (06:55:00 CET)
A peer-reviewed article of this Preprint also exists.
Završnik, J.; Kokol, P.; Žlahtič, B.; Blažun Vošner, H. Artificial Intelligence and Pediatrics: Synthetic Knowledge Synthesis. Electronics 2024, 13, 512. Završnik, J.; Kokol, P.; Žlahtič, B.; Blažun Vošner, H. Artificial Intelligence and Pediatrics: Synthetic Knowledge Synthesis. Electronics 2024, 13, 512.
Abstract
Historically the use of artificial intelligence (AI) in paediatrics dates back to 1984 with the intro-duction of a computer-assisted medical decision-making system called SHELP. Since then, research on the use of AI in pediatrics has become much more popular, and the number of reviewed publications largely increased. Consequently, a need for a holistic research landscape enabling researchers and other interested parties to gain insights into, deepen their knowledge about or inform them about the use of AI in pediatrics arised. To fill this gap a novel methodology named synthetic knowledge synthesis was applied. Using SKS we identified most prolific countries, in-stitutions, source titles, funding agencies, research themes, research gaps and hot spots.
Keywords
pediatrics; artificial intelligence; synthetic knowledge synthesis; bibliometrics; machine learning
Subject
Public Health and Healthcare, Primary Health Care
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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