Web-Based Artificial Intelligence to Predict Cognitive Impairment Following Stroke: A Multicenter Study

F Hasan, MS Muhtar, D Wu, PY Chen, MH Hsu… - Journal of Stroke and …, 2024 - Elsevier
Background and purpose Post-stroke cognitive impairment (PSCI) is highly prevalent in
modern society. However, there is limited study implying an accurate and explainable …

Predicting post-stroke cognitive impairment using machine learning: A prospective cohort study

W Ji, C Wang, H Chen, Y Liang, S Wang - Journal of Stroke and …, 2023 - Elsevier
Background Post-stroke cognitive impairment (PSCI) is a serious complication of stroke that
warrants prompt detection and management. Consequently, the development of a …

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G Abate, L Wang, S Misra, H Shi, Y Yin, D Qin… - Reviews in …, 2024 - books.google.com
Objective: Cognitive impairment is a detrimental complication of stroke that compromises the
quality of life of the patients and poses a huge burden on society. Due to the lack of effective …

Machine learning in the prediction of post-stroke cognitive impairment: a systematic review and meta-analysis

XS Li, Z Chen, H Jiao, BY Wang, H Yin, LJ Chen… - Frontiers in …, 2023 - frontiersin.org
Objective Cognitive impairment is a detrimental complication of stroke that compromises the
quality of life of the patients and poses a huge burden on society. Due to the lack of effective …

Prediction of post-stroke cognitive impairment after acute ischemic stroke using machine learning

M Lee, NY Yeo, HJ Ahn, JS Lim, Y Kim, SH Lee… - Alzheimer's Research & …, 2023 - Springer
Background and objectives Post-stroke cognitive impairment (PSCI) occurs in up to 50% of
patients with acute ischemic stroke (AIS). Thus, the prediction of cognitive outcomes in AIS …

The predictive performance of artificial intelligence on the outcome of stroke: a systematic review and meta-analysis

Y Yang, L Tang, Y Deng, X Li, A Luo, Z Zhang… - Frontiers in …, 2023 - frontiersin.org
Objectives This study aimed to assess the accuracy of artificial intelligence (AI) models in
predicting the prognosis of stroke. Methods We searched PubMed, Embase, and Web of …

A new nomogram model for individualized prediction of cognitive impairment in patients with acute ischemic stroke

A Tang, S Liu, Z Wang, H Shao, X Cai, T Li - Journal of Stroke and …, 2022 - Elsevier
Background Cognitive impairment is a common symptom after ischemic stroke. Such
symptom can cause effect on rehabilitation of patients and their quality of life and. As stroke …

Predicting post-stroke cognitive impairment using electronic health record data

JM Ashburner, Y Chang, B Porneala… - … Journal of Stroke, 2024 - journals.sagepub.com
Background: Secondary prevention interventions to reduce post-stroke cognitive impairment
(PSCI) can be aided by the early identification of high-risk individuals who would benefit …

[HTML][HTML] Multivariate logistic regression analysis of clinical characteristics and risk factors of cognitive impairment after cerebral ischemic stroke: implications for clinical …

C Ma, D Wang, X Li, Q Feng, Y Liu… - Annals of Translational …, 2023 - ncbi.nlm.nih.gov
Background Stroke ranks first among disease fatalities, and those who do survive stroke are
prone to cognitive impairment. The aim of this study was to explore the clinical …

[HTML][HTML] Development and validation of a clinical model (DREAM-LDL) for post-stroke cognitive impairment at 6 months

Y Dong, M Ding, M Cui, M Fang, L Gong, Z Xu… - Aging (Albany …, 2021 - ncbi.nlm.nih.gov
Introduction: This multicenter, retrospective study assessed the prevalence of post-stroke
cognitive impairment (PSCI) 6 months after acute ischemic stroke (AIS) and its risk factors to …