ReviewCurrent neurology and neuroscience reports2026
Redefining Stroke Care with Artificial Intelligence: Recent Advances.
Review in Current neurology and neuroscience reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewThis review aims to provide an overview of how artificial intelligence (AI) is being integrated into stroke care across the full clinical spectrum with emphasis on its applications in diagnosis, management, and rehabilitation. The focus is on recent advances (2020–2025), addressing key questions on clinical utility and implementation challenges. RECENT
findingsAI has shown promise in enhancing stroke diagnosis through imaging analysis, wearable sensors, and remote monitoring. In stroke management, it supports decision-making and therapy optimization. AI-enabled tools are also improving rehabilitation via robotics and computer vision, and aid prevention through risk prediction and community screening. However, challenges remain in model generalizability, acceptance by the community, and ethical concerns. AI is reshaping stroke care by enabling personalized, timely, and data-driven approaches which can significantly improve quality of life. Future progress will depend on transparent multimodal, globally validated models, supported by interdisciplinary collaboration.
Indexed as
Identifiers
41961180What 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.