Dynamic, Explainable Artificial Intelligence Framework for Sequential Prediction of Symptomatic Intracranial Hemorrhage after Reperfusion Therapy in Acute Ischemic Stroke.
- DOI
- 10.1159/ced/accag010
- Published
- 2026 Aug 31
- Container
- Cerebrovascular diseases (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1159/ced/accag010,
title = {Dynamic, Explainable Artificial Intelligence Framework for Sequential Prediction of Symptomatic Intracranial Hemorrhage after Reperfusion Therapy in Acute Ischemic Stroke.},
author = {Yang L and Fan X and Xu A and Du J},
year = {2026},
journal = {Cerebrovascular diseases (Basel, Switzerland)},
doi = {10.1159/ced/accag010},
url = {https://doi.org/10.1159/ced/accag010}
}RIS
TY - JOUR TI - Dynamic, Explainable Artificial Intelligence Framework for Sequential Prediction of Symptomatic Intracranial Hemorrhage after Reperfusion Therapy in Acute Ischemic Stroke. AU - Yang L AU - Fan X AU - Xu A AU - Du J PY - 2026 JO - Cerebrovascular diseases (Basel, Switzerland) DO - 10.1159/ced/accag010 UR - https://doi.org/10.1159/ced/accag010 ER -
APA
L, Y., X, F., A, X., & J, D. (2026). Dynamic, Explainable Artificial Intelligence Framework for Sequential Prediction of Symptomatic Intracranial Hemorrhage after Reperfusion Therapy in Acute Ischemic Stroke.. Cerebrovascular diseases (Basel, Switzerland). https://doi.org/10.1159/ced/accag010
Source records
- pubmed · retrieved 2026-09-25T00:05:04.855Z