Al-JanabiOMEl RefaeiAElgazzarT, et al. Current stroke solutions using artificial intelligence: a review of the literature. Brain Sci2024; 14: 1182.
2.
ChenYTozerDJLiuWPeakeEJMarkusHS.Prediction of response to thrombolysis in acute stroke using neural network analysis of CT perfusion imaging. Eur Stroke J2023; 8: 629–637.
3.
YuCCPengYQLinC, et al. ECG-based machine learning model for AF identification in patients with first ischemic stroke. Int J Stroke2025; 20: 411–418.
4.
KocakZ.Publication ethics in the era of artificial intelligence. J Korean Med Sci2024; 39: e249.
Biondi-ZoccaiGLaurettiAAgewallS, et al. Artificial Intelligence in Medical Publishing (AIMPub) working group. Perspectives on artificial intelligence in medical publishing: a survey of medical journal editors. J Cardiovasc Pharmacol2025; 86: 374–383.
7.
NehmeALiL.The rising incidence of stroke in the young: epidemiology, causes and global impact. Int J Stroke2025; 21: 14–23.
8.
DebBVasireddiSBhatiaNK, et al. Non-cardiac and cardiac risk for ischemic stroke in young adults: the Stanford Y-CORE (Young Cardiovascular Outcomes and Risk Evaluation) study. Int J Stroke2025; 21: 45–56.
9.
GonzalezFLópezJITamagniniF, et al. Young adults with ischemic stroke in Argentina: a national multicenter retrospective registry analysis (JACARANDA). Int J Stroke2025; 21: 68–78.
10.
WangZLiJLongZ, et al. National and provincial trends of mortality and years of life lost due to stroke in children and adolescents in China, 2005–2020: an analysis of national mortality surveillance data. Int J Stroke2025; 21: 57–67.
11.
PinterDBromanJLeitnerM, et al. Long-term outcome of young patients after ischemic stroke or transient ischemic attack: insights from a multicenter study. Int J Stroke2025; 21: 36–44.
12.
RasingAHilkensNAde LeeuwF-E. Young stroke: an update on epidemiology, emerging risk factors and future research directions. Int J Stroke2026; 21: 6–13.
13.
LeeY-CChenC-HChouY-T, et al. Comparison of clinical and imaging features of cerebral small vessel disease associated with heterozygous HTRA1 and NOTCH3 mutations. Int J Stroke2025; 21: 79–88.