Affiliation:
1. Community Healthcare Center dr. Adolf Drolc Maribor, 2000 Maribor, Slovenia
2. Faculty of Electrical Engineering and Computer Science, University of Maribor, 2000 Maribor, Slovenia
3. Faculty of Medicine, University of Maribor, 2000 Maribor, Slovenia
4. Faculty of Health and Social Sciences Slovenj Gradec, 2380 Slovenj Gradec, Slovenia
Abstract
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.
Reference73 articles.
1. Computer Assisted medical Diagnosis System for Inborn Errors of Metabolism;Sugiyama;Jpn. J. Med. Electron. Biol. Eng.,1984
2. Machine Learning on Small Size Samples: A Synthetic Knowledge Synthesis;Kokol;Sci. Prog.,2022
3. Statistical Bibliography or Bibliometrics?;Pritchard;J. Doc.,1969
4. Bellis, N.D. (2009). Bibliometrics and Citation Analysis: From the Science Citation Index to Cybermetrics, Scarecrow Press.
5. Ball, R. (2018). An Introduction to Bibliometrics, Elsevier.
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献