ReviewAJNR. American journal of neuroradiology2021
Artificial Intelligence and Acute Stroke Imaging.
Review in AJNR. American journal of neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 4 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
104 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Artificial intelligence models in cerebral infarction: performance and applications in diagnosis, classification, grading, treatment, and disease course prediction-a systematic review.BMC medical informatics and decision making · 2026Pooled it
- Advancing stroke diagnosis and management through nuclear medicine: a systematic review of clinical trials.Frontiers in medicine · 2024Pooled it
- Influence of artificial intelligence on the work design of emergency department clinicians a systematic literature review.BMC health services research · 2022Pooled it
- Can Artificial Intelligence Be Applied to Diagnose Intracerebral Hemorrhage under the Background of the Fourth Industrial Revolution? A Novel Systemic Review and Meta-Analysis.International journal of clinical practice · 2022Pooled it
- Deep learning algorithm for automatic detection of acute ischemic stroke on noncontrast brain CT.Scientific reports · 2026Trial
- An exploratory survey of barriers and enablers of AI adoption in rural and urban dental practices in Mecklenburg-Western Pomerania, Germany.Scientific reports · 2026Article
- Artificial intelligence for pediatric neuroimaging.Pediatric radiology · 2026Review
- An agentic AI framework for integrated decision support and surgical planning in intracerebral hemorrhage.Acta neurochirurgica · 2026Article
- Beyond Conventional Imaging: From Time-Based to Data-Driven Decision-Making in Acute Ischemic Stroke.Journal of atherosclerosis and thrombosis · 2026Review
- The Role of AI-Based Software BrainScan in the Interpretation of Non-Contrast Head CT in Acute Ischemic Stroke: An External Validation Study.Neurology international · 2026Article
- Artery of percheron infarction and a very rare finding of ping pong gaze: A case report.Radiology case reports · 2026Article
- Influence of deep learning image reconstruction and adaptive statistical iterative reconstruction-V on automated Alberta stroke program early CT score- evaluation.Neuroradiology · 2026Article
- Transforming Stroke Diagnosis with Artificial Intelligence: A Scoping Review of Brainomix e-Stroke, Aidoc, RapidAI, and Viz.ai.Medicina (Kaunas, Lithuania) · 2026Article
- Transforming Intracerebral Hemorrhage Care with Artificial Intelligence: Opportunities, Challenges, and Future Directions.Diagnostics (Basel, Switzerland) · 2026Review
- Explainable multi-modal approach for uncovering key predictors of stroke-risk from ECG, EMG, blood pressure, and respiratory signals.Scientific reports · 2026Article
- Quantifying Innovation in Stroke: Large Language Model Bibliometric Analysis.Journal of medical Internet research · 2026Article
- Leadership in radiology in the era of technological advancements and artificial intelligence.European radiology · 2026Article
- Global expert consensus on the importance of secondary stroke prevention: challenges, care coordination and unmet needs for non-cardioembolic ischaemic stroke survivors.European stroke journal · 2026Article
- The Potential of Digital Twins in Stroke Care: A Systematic Review of Current Applications and Future Perspectives.Computational and structural biotechnology journal · 2026Review
- Motion artifacts and image quality in stroke MRI: associated factors and impact on AI and human diagnostic accuracy.European radiology · 2026Article
44 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence technology is a rapidly expanding field with many applications in acute stroke imaging, including ischemic and hemorrhage subtypes. Early identification of acute stroke is critical for initiating prompt intervention to reduce morbidity and mortality. Artificial intelligence can help with various aspects of the stroke treatment paradigm, including infarct or hemorrhage detection, segmentation, classification, large vessel occlusion detection, Alberta Stroke Program Early CT Score grading, and prognostication. In particular, emerging artificial intelligence techniques such as convolutional neural networks show promise in performing these imaging-based tasks efficiently and accurately. The purpose of this review is twofold: first, to describe AI methods and available public and commercial platforms in stroke imaging, and second, to summarize the literature of current artificial intelligence-driven applications for acute stroke triage, surveillance, and prediction.
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.