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
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
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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
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EID of the result in the Scopus database
2-s2.0-85197706628