ArticleEinstein (Sao Paulo, Brazil)2026
Navigating the new frontier: technical, humanistic, and ethical skills in AI-augmented stroke care for vascular neurologists: a scoping review.
Article in Einstein (Sao Paulo, Brazil), 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial Intelligence is increasingly embedded in stroke care, yet clear guidance on the competencies required for its safe and ethical use in vascular neurology is lacking.
objectiveTo map the literature on Artificial Intelligence applications across the stroke care continuum and to synthesize the technical, ethical-legal, and humanistic competencies needed for Artificial Intelligence-augmented clinical practice. DATA SOURCES: PubMed/MEDLINE, Embase, Scopus, Google Scholar, and targeted gray literature from professional and regulatory bodies. ELIGIBILITY CRITERIA: Peer-reviewed studies, reviews, and consensus statements or guidance documents addressing Artificial Intelligence in stroke care or related ethicallegal and humanistic competencies. Case reports, exclusively preclinical studies, and non-scholarly publications were excluded.
methodsA scoping review was conducted according to PRISMA-ScR and JBI guidance, with independent screening and narrative thematic synthesis.
resultsFrom 1,426 records, 74 studies were included. Validated Artificial Intelligence applications were identified in hyperacute imaging (e.g., automated ASPECTS and large-vessel occlusion detection), prognostication, complication prediction, and rehabilitation monitoring, with improvements in speed and precision. Key gaps included limited external validation, insufficient bias assessment, and weak implementation governance. Three competency domains emerged: technical (data literacy and model evaluation), ethical-legal (accountability, privacy and equity), and humanistic (empathy, communicationand shared decision-making). We propose "clinical-Artificial Intelligence correlation" as a core competency integrating algorithmic outputs with clinical judgment.
conclusionArtificial Intelligence can enhance stroke care when combined with rigorous clinical oversight and strong ethical and humanistic foundations. REGISTRATION: 10.17605/OSF.IO/G4W9J.
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.