20.500.12556/DKUM-93540 Artificial intelligence and pediatrics synthetic knowledge synthesis The first publication on the use of artificial intelligence (AI) in pediatrics dates back to 1984. Since then, research on AI in pediatrics has become much more popular, and the number of publications has largely increased. Consequently, a need for a holistic research landscape enabling researchers and other interested parties to gain insights into the use of AI in pediatrics has arisen. To fill this gap, a novel methodology, synthetic knowledge synthesis (SKS), was applied. Using SKS, we identified the most prolific countries, institutions, source titles, funding agencies, and research themes and the most frequently used AI algorithms and their applications in pediatrics. The corpus was extracted from the Scopus (Elsevier, The Netherlands) bibliographic database and analyzed using VOSViewer, version 1.6.20. Done An exponential growth in the literature was observed in the last decade. The United States, China, and Canada were the most productive countries. Deep learning was the most used machine learning algorithm and classification, and natural language processing was the most popular AI approach. Pneumonia, epilepsy, and asthma were the most targeted pediatric diagnoses, and prediction and clinical decision making were the most frequent applications. pediatrics artificial intelligence synthetic knowledge synthesis bibliometrics machine learning pediatrija umetna inteligenca bibliometrika strojno učenje true false true MDPI Angleški jezik Slovenski jezik https://www.mdpi.com/journal/electronics © 2024 by the authors Članek v reviji 2025-07-01 14:16:22 2025-07-01 14:16:22 2025-07-02 03:10:16 0000-00-00 00:00:00 2024 0 0 14 str. iss. 3, [article no.] 512 Vol. 13 Jan. 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2024-01-06 2024-01-25 2024-01-26 004.5 182783747 10.3390/electronics13030512 2079-9292 electronics-13-00512.pdf electronics-13-00512.pdf 1 11B36648B8C7C3C08D660EE337E73FA1 562e4ba1743cf8b0c4e064fcb6d5fdfe1faa1993a2af1408aa13386e803adf36 d7d3b939-5675-11f0-8520-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=193064 https://www.mdpi.com/2079-9292/13/3/512 0 dd60b9f0-5675-11f0-8520-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=193065 Fakulteta za elektrotehniko, računalništvo in informatiko Medicinska fakulteta 0 0 0