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AI in Medicine versus AI in Prehospital

Ahu Pakdemirli, Asim Leblebici.




Abstract

This study was made to compare the information about the studies on “Artificial intelligence in medicine” and “Artificial intelligence in Pre-hospital” on the Scopus database, and to investigate research on artificial intelligence in health and pre-hospital field. In the study, the studies on “Artificial Intelligence in Medicine/Prehospital,” “Machine learning in Medicine/Prehospital” and “Deep learning in Medicine/Prehospital” on Scopus database were performed to compare the information. Two groups were examined according to “Year”, “Author”, “Institution”, “Publication type”, “Field”, “Country”, “Fund institution”, “Language” and “Citation” parameters. Descriptive statistics and nonparametric Mann-Whitney-U test was used. In the studies conducted, the rate of change in the 2 screening groups was calculated around 83-84%. Although there is no statistical difference between the rate of change, it is seen that the concept of “Artificial intelligence in medicine” is used quite widely compared to “Artificial intelligence in Pre-hospital”. It is seen that, as in all areas of Artificial Intelligence and its sub-concepts, the studies carried out in the fields of health and pre-hospitals continue and will continue to increase dramatically.

Key words: Artificial intelligence (AI), prehospital, artificial intelligence in healthcare






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