Evidence map›Paper›PMID 42615002›Full record

ArticleNeurology. Education2026

Education Research: Validation of an AI-Powered Educational Platform for Neuroanatomical Localization and Stroke Syndrome Recognition: A Multicenter Study.

Thales Pardini Fagundes, João Brainer Clares de Andrade, Alice Marilia Silva Abreu Mota, Victor Dyego Mena Romeiro Nishimura, Felipe Hideki Soga, Millene Camilo

Abstract read
In one paragraph

Article in Neurology. Education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Thales Pardini FagundesDepartment of Neurosciences and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Brazil.ORCID https://orcid.org/0000-0002-3302-9913
João Brainer Clares de AndradeDepartment of Health Informatics; Department of Neurology, Universidade Federal de São Paulo, Brazil.
Alice Marilia Silva Abreu MotaDepartment of Radiology and Diagnostic Imaging, Universidade Federal de São Paulo, Brazil.
Victor Dyego Mena Romeiro NishimuraDepartment of Radiology and Diagnostic Imaging, Hospital Beneficência Portuguesa de São Caetano do Sul, Brazil; and.ORCID https://orcid.org/0009-0006-8451-2709
Felipe Hideki SogaDepartment of Medicine, Centro Universitário São Camilo, Sao Paulo, Brazil.
Millene CamiloDepartment of Neurosciences and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Neuroanatomical localization is foundational to stroke practice but remains difficult across training levels. We evaluated whether LouiS, an AI educational platform using retrieval-augmented generation over a curated stroke-syndrome knowledge base, improves the proportion of correct responses for neuroanatomical localization and stroke-syndrome recognition, with a focus on its potential as a teaching aid. Methods: This two-phase study recruited 80 participants from 3 Brazilian university-affiliated centers. Phase 1 used web-app allocation with browser-fingerprint persistence to keep each participant in the same test condition, with or without LouiS, across repeated access. Phase 2 used a within-participant paired design in which 62 participants evaluated case-matched vignettes first without and then with LouiS. Participant-level scores used the actual number of scorable responses in each condition. The allocation protocol required exposure to higher-difficulty vignettes and supplemented them with randomly selected cases. The primary outcome was the proportion of correct responses against a consensus reference standard. Results: Across the pooled response-wise dataset including phase 1 and available phase 2 responses, correct responses increased from 63.4% without LouiS to 71.9% with LouiS (absolute difference 8.5 percentage points; 95% CI 2.79-14.20; generalized estimating equation OR 1.36, 95% CI 1.11-1.67; Discussion: Use of LouiS was associated with improved performance in neuroanatomical localization and stroke-syndrome recognition during case-based testing. The findings support LouiS as an educational aid for neuroanatomical reasoning and continuing medical education. Knowledge retention, behavior change, and real-world clinical outcomes require separate prospective evaluation.

Identifiers

PMID42615002
PMCPMC13485138

What OpenQuestion holds

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Registered trials

None linked

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.