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Sex differences and possible applications of artificial intelligence in saccular unruptured intracranial aneurysms. A narrative review

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F24%3A10481904" target="_blank" >RIV/00064203:_____/24:10481904 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11130/24:10481904

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=arpKU-MxOC" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=arpKU-MxOC</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1723/4297.42786" target="_blank" >10.1723/4297.42786</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sex differences and possible applications of artificial intelligence in saccular unruptured intracranial aneurysms. A narrative review

  • Original language description

    Saccular unruptured intracranial aneurysm (UIA) refers to the abnormal bulging of an intracranial artery wall. UIAs are quite prevalent in the general population, affecting approximately 3% of individuals. Females have a significantly greater risk of UIA development, growth, and rupture compared to males, the reasons for which are not yet well under-stood. The female-to-male prevalence ratio of UIAs is as high as 2.2:1 in populations over 50 years old. This review offers an overview of the current understanding of sex influences in UIAs. We highlight the potential underlying mechanisms that may contribute to such sex influences, including the effects of reproductive aging and hormonal fluctuations on cerebral arteries and inflammation. Additionally, we delve into the role of artificial intelligence in addressing the knowledge gaps and clinical challenges associated with sex-specific UIA detection and management, highlighting the possibility for new AI models to integrate sex considerations in their development and applications. Gaining insight into sex differences in UIAs and harnessing the power of AI technologies can improve risk assessment, personalized treatment approaches, and patient health outcomes.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Sex- and Gender- Specific Medicine

  • ISSN

    2974-8194

  • e-ISSN

    2974-8623

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    IT - ITALY

  • Number of pages

    11

  • Pages from-to

    94-104

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85197706628