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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216208:11130/24:10481904

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Journal of Sex- and Gender- Specific Medicine

ISSN

2974-8194

e-ISSN

2974-8623

Svazek periodika

10

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

IT - Italská republika

Počet stran výsledku

11

Strana od-do

94-104

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85197706628