Navigating the new frontier: technical, humanistic, and ethical skills in AI-augmented stroke care for vascular neurologists: a scoping review

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Authors: João Brainer Clares de Andrade, Rafael Pádua Gomes, Alexandre Cristiuma Robles, George Nilton Nunes Mendes, Thales Pardini Fagundes, Thiago Santos Carneiro
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Abstract

BACKGROUND: Artificial 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. OBJECTIVE: To 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. METHODS: A scoping review was conducted according to PRISMA-ScR and JBI guidance, with independent screening and narrative thematic synthesis. RESULTS: From 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. CONCLUSION: Artificial Intelligence can enhance stroke care when combined with rigorous clinical oversight and strong ethical and humanistic foundations. REGISTRATION: 10.17605/OSF.IO/G4W9J.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Acute Ischemic Stroke Management Ethics and Social Impacts of AI

Publication details

Journal / source
Einstein (São Paulo)
Volume
24
Issue
spe1
Pages
eRW2050–eRW2050
Publication date
1 January 2026
Language
EN