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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • 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

  • UT code for WoS article

    000755074100001

  • EID of the result in the Scopus database

    2-s2.0-85123723032