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References from Malignant cerebral edema after endovascular thrombectomy: a multimodal prediction model based on post-thrombectomy cerebral hyperdensity and natural language processing. Local targets link to admitted publications; unresolved targets remain external evidence.
Malignant middle cerebral artery infarction: clinical characteristics, treatment strategies, and future perspectives
10.1016/s1474-4422(09)70224-8 · 2009 · External reference
Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials
10.1016/s0140-6736(16)00163-x · 2016 · External reference
Trial of endovascular therapy for acute ischemic stroke with large infarct
10.1056/nejmoa2213379 · 2023 · External reference
Trial of endovascular thrombectomy for large ischemic strokes
10.1056/nejmoa2214403 · 2023 · External reference
Endovascular thrombectomy in acute stroke with a large ischemic core: a systematic review and meta-analysis of randomized controlled trials
10.1371/journal.pmed.1004484 · 2025 · External reference
The ACORNS grading scale: a novel tool for the prediction of malignant brain edema after endovascular thrombectomy
10.1136/jnis-2022-019404 · 2023 · External reference
Association of reperfusion with brain edema in patients with acute ischemic stroke
10.1001/jamaneurol.2017.5162 · 2018 · External reference
Development and validation of an interpretable machine learning model to predict malignant cerebral edema after endovascular treatment in acute anterior circulation large vessel occlusion stroke
10.3389/fneur.2025.1694030 · 2026 · External reference
Development of a multimodal model combining radiomics and deep learning to predict malignant cerebral edema after endovascular thrombectomy
10.3389/fneur.2025.1716443 · 2025 · External reference
Predictors of malignant brain edema after mechanical thrombectomy for acute ischemic stroke
10.1136/neurintsurg-2018-014650 · 2019 · External reference
Predictors of malignant cerebral edema in cerebral artery infarction: a meta-analysis
10.1016/j.jns.2019.116607 · 2020 · External reference
Quantitative lesion water uptake in acute stroke computed tomography is a predictor of malignant infarction
10.1161/strokeaha.118.020507 · 2018 · External reference
Clinical significance of post-interventional cerebral hyperdensities after endovascular mechanical thrombectomy in acute ischaemic stroke
10.1007/s00234-013303 · 2014 · External reference
Relationship between postinterventional cerebral hyperdensities and malignant brain edema in patients with acute ischemic stroke after mechanical thrombectomy
10.3389/fneur.2025.1693606 · 2025 · External reference
Deep learning-assisted diagnosis of malignant cerebral edema following endovascular thrombectomy
10.1016/j.acra.2025.02.021 · 2025 · External reference
Comparing three-dimensional and two-dimensional deep-learning, radiomics, and fusion models for predicting occult lymph node metastasis in laryngeal squamous cell carcinoma based on CT imaging: a multicentre, retrospective, diagnostic study
10.1016/j.eclinm.2023.102385 · 2024 · External reference
Multimodal machine learning for stroke prognosis and diagnosis: a systematic review
10.1109/jbhi.2024.3448238 · 2024 · External reference
A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata
10.1016/j.media.2024.103381 · 2025 · External reference
Machine learning, clinical-radiomics approach with HIM for hemorrhagic transformation prediction after thrombectomy and treatment
10.3389/fneur.2025.1471274 · 2025 · External reference
Development and validation of a multi-omics hemorrhagic transformation model based on hyperattenuated imaging markers following mechanical thrombectomy
10.1038/s41598-025-02056 · 2025 · External reference
Development and validation of a CT-based multi-omics nomogram for predicting hospital discharge outcomes following mechanical thrombectomy
10.3389/fnins.2025.1643014 · 2025 · External reference
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
10.1093/bioinformatics/btz682 · 2020 · External reference
Multi-modal deep learning for predicting functional outcomes in intracerebral hemorrhage using 3D CT and clinical data
10.1016/j.ejrad.2025.112506 · 2026 · External reference
The accuracy of large language models to identify stroke subtypes within unstructured electronic health record data
10.1161/strokeaha.125.051993 · 2025 · External reference
Stroke diagnosis and prediction tool using chatGLM: development and validation study
10.2196/67010 · 2025 · External reference
Deep learning applications for acute stroke management
10.1002/ana.26435 · 2022 · External reference
The malignant stroke indicator is an early indicator of malignant ischemic stroke requiring decompressive hemicraniectomy
10.1038/s41598-025-92284-2 · 2025 · External reference
Decompressive hemicraniectomy for large hemispheric strokes
10.1161/strokeaha.120.032359 · 2021 · External reference
A data-driven gaussian process regression model for concrete complex dielectric permittivity characterization
10.3390/s25206350 · 2025 · External reference