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Naslov:Artificial intelligence and pediatrics : synthetic knowledge synthesis
Avtorji:ID Završnik, Jernej (Avtor)
ID Kokol, Peter (Avtor)
ID Žlahtič, Bojan (Avtor)
ID Blažun Vošner, Helena (Avtor)
Datoteke:.pdf electronics-13-00512.pdf (1,71 MB)
MD5: 11B36648B8C7C3C08D660EE337E73FA1
 
URL https://www.mdpi.com/2079-9292/13/3/512
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.02 - Pregledni znanstveni članek
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
MF - Medicinska fakulteta
Opis: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.
Ključne besede:pediatrics, artificial intelligence, synthetic knowledge synthesis, bibliometrics, machine learning
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:06.01.2024
Datum sprejetja članka:25.01.2024
Datum objave:26.01.2024
Založnik:MDPI
Leto izida:2024
Št. strani:14 str.
Številčenje:Vol. 13, iss. 3, [article no.] 512
PID:20.500.12556/DKUM-93540 Novo okno
UDK:004.5
COBISS.SI-ID:182783747 Novo okno
DOI:10.3390/electronics13030512 Novo okno
ISSN pri članku:2079-9292
Avtorske pravice:© 2024 by the authors
Datum objave v DKUM:01.07.2025
Število ogledov:206
Število prenosov:12
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Electronics
Skrajšan naslov:Electronics
Založnik:MDPI
ISSN:2079-9292
COBISS.SI-ID:523068953 Novo okno

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:pediatrija, umetna inteligenca, bibliometrika, strojno učenje


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