AI in Medicine versus AI in Prehospital
| Autor: | Ahu Pakdemirli, Asım Leblebici |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Medical education
lcsh:R5-920 Descriptive statistics business.industry Deep learning lcsh:R Statistical difference Scopus lcsh:Medicine prehospital artificial intelligence (ai) Field (computer science) Test (assessment) Medicine Artificial intelligence business Citation lcsh:Medicine (General) artificial intelligence in healthcare |
| Zdroj: | Medicine Science, Vol 9, Iss 2, Pp 293-7 (2020) |
| ISSN: | 2147-0634 |
| Popis: | 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. [Med-Science 2020; 9(2.000): 293-7] |
| Databáze: | OpenAIRE |
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