ReviewBioMed research international2022
Deep Learning in Ischemic Stroke Imaging Analysis: A Comprehensive Review.
Review in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Deep learning for MRI-based acute and subacute ischaemic stroke lesion segmentation-a systematic review, meta-analysis, and pilot evaluation of key results.Frontiers in medical technology · 2025Pooled it
- Predictive Performance of Artificial Intelligence Models for Stroke Risk Stratification: A Systematic Review and Meta-Analysis.Inquiry : a journal of medical care organization, provision and financingPooled it
- Collaborative artificial intelligence for the diagnosis and management of acute ischemic stroke.Annals of medicine · 2026Review
- Predictive analysis in acute ischemic stroke imaging.Annals of medicine and surgery (2012) · 2026Review
- Deep learning-based cognitive impairment brain imaging analysis: New methods, new technologies, and new paradigms.Neural regeneration research · 2026Article
- Deep learning-based automatic identification model of main pancreatic duct in intraoperative ultrasonography.Surgical endoscopy · 2026Article
- pH-sensitive probes for ischemic stroke: advancing early detection and accurate grading.Frontiers in molecular biosciences · 2026Review
- Integration of imaging and clinical biomarkers for cerebral infarction diagnosis via NeuroFusionNet.Frontiers in neuroscience · 2026Article
- Parameter-free dual-student ensemble for semi-supervised ischemic stroke segmentation on follow-up NCCT.Frontiers in neurology · 2026Article
- Enhanced diagnostic value of sequential head and neck CTA and MR-DWI in acute ischemic stroke.Medicine · 2025Observational
- Optimized Hounsfield Units Transformation for Explainable Temporal Stage-Specific Ischemic Stroke Classification in CT Imaging.Journal of imaging · 2025Article
- Predicting Acute Cerebrovascular Events in Stroke Alerts Using Large-Language Models and Structured Data.medRxiv : the preprint server for health sciences · 2025Article
- Automated deep U-Net model for ischemic stroke lesion segmentation in the sub-acute phase.Scientific reports · 2025Article
- Neuroengineering approaches assessing structural and functional changes of motor descending pathways in stroke.Progress in biomedical engineering (Bristol, England) · 2025Review
- Dual Energy CT for Deep Learning-Based Segmentation and Volumetric Estimation of Early Ischemic Infarcts.Journal of imaging informatics in medicine · 2025Article
- Hybrid machine learning for real-time prediction of edema trajectory in large middle cerebral artery stroke.NPJ digital medicine · 2025Article
- Optimizing Acute Stroke Segmentation on MRI Using Deep Learning: Self-Configuring Neural Networks Provide High Performance Using Only DWI Sequences.Journal of imaging informatics in medicine · 2025Article
- Article
- From data to decisions: AI and functional connectivity for diagnosis, prognosis, and recovery prediction in stroke.GeroScience · 2025Article
- Clinical feasibility of deep learning-driven magnetic resonance angiography collateral map in acute anterior circulation ischemic stroke.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ischemic stroke is a cerebrovascular disease with a high morbidity and mortality rate, which poses a serious challenge to human health and life. Meanwhile, the management of ischemic stroke remains highly dependent on manual visual analysis of noncontrast computed tomography (CT) or magnetic resonance imaging (MRI). However, artifacts and noise of the equipment as well as the radiologist experience play a significant role on diagnostic accuracy. To overcome these defects, the number of computer-aided diagnostic (CAD) methods for ischemic stroke is increasing substantially during the past decade. Particularly, deep learning models with massive data learning capabilities are recognized as powerful auxiliary tools for the acute intervention and guiding prognosis of ischemic stroke. To select appropriate interventions, facilitate clinical practice, and improve the clinical outcomes of patients, this review firstly surveys the current state-of-the-art deep learning technology. Then, we summarized the major applications in acute ischemic stroke imaging, particularly in exploring the potential function of stroke diagnosis and multimodal prognostication. Finally, we sketched out the current problems and prospects.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.