Artificial Intelligence and Women Researchers in the Czech Republic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F22%3A00356197" target="_blank" >RIV/68407700:21460/22:00356197 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/22:00356197
Result on the web
<a href="https://doi.org/10.3390/app12031465" target="_blank" >https://doi.org/10.3390/app12031465</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app12031465" target="_blank" >10.3390/app12031465</a>
Alternative languages
Result language
angličtina
Original language name
Artificial Intelligence and Women Researchers in the Czech Republic
Original language description
Artificial intelligence as a research area has been continuously growing for several decades. Many applications were developed in various domains. Medicine and health care have attracted more intensive attention thanks to rapid technological development that has accelerated generation of large volumes of data requiring intelligent analysis and evaluation. This article illustrates, through examples of women researchers and selected AI projects in medicine, the wide spectrum of applications developed during the last fifteen years in the Czech Republic, and in particular at the Czech Technical University in Prague. Women researchers played an important and irreplaceable role since the advent of AI research in the Czech Republic. By their example, they motivated many young female students to join the community and start their research career in the AI area. They frequently participated in research projects led by the senior women researchers. The presented overview of projects illustrates the diversity of the medical area and the potential of AI methods that can be used for solving data- and knowledge-intensive problems. We briefly touch on the AI study programs. In conclusion, we point out the future challenges in AI and its applications in medicine and health care.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Sciences
ISSN
2076-3417
e-ISSN
2076-3417
Volume of the periodical
12
Issue of the periodical within the volume
3
Country of publishing house
CH - SWITZERLAND
Number of pages
15
Pages from-to
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UT code for WoS article
000755074100001
EID of the result in the Scopus database
2-s2.0-85123723032