Advances in the diagnosis of pediatric arterial ischemic stroke – imaging and beyond
Bibliographic record
Abstract
INTRODUCTION: Arterial ischemic stroke (AIS) represents a significant cause of neurological morbidity and mortality in the pediatric population, with reported mortality rates ranging from 2% to 9%. The growing evidence supporting the efficacy and safety of reperfusion therapies in pediatric AIS underscores the critical importance of timely and accurate diagnosis. There are many barriers to achieving this, including a lack of clinical recognition and diagnostic imaging delays. AREAS COVERED: This narrative review highlights key advances in reperfusion therapies, acute neuroimaging, advanced imaging, and the development of stroke pathways. It explores the growing understanding of the etiology and genetics of childhood AIS. A comprehensive literature search was performed using PubMed, Medline, and EMBASE for relevant studies and reports, as well as reviewing published guidelines available through March 2025. EXPERT OPINION: Pediatric AIS remains challenging due to its infrequent occurrence, diagnostic complexity, and system-level barriers. Advances in imaging and development of streamlined pediatric stroke pathways are shortening the time to diagnosis, but future advances will rely on integration within established adult systems of care, the use of telemedicine and the development of pediatric perfusion imaging expertise. Evolving knowledge of pediatric neurovascular genetics and secondary imaging modalities will lead to tailored management of conditions with stroke risk.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".