Detection of large vessel occlusion using artificial intelligence tools: A systematic review and meta-analysis.

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Bibliographic Details
Title: Detection of large vessel occlusion using artificial intelligence tools: A systematic review and meta-analysis.
Authors: Dantas J; Universidade Federal do Rio Grande do Norte, Natal, Brazil. julyana.dantas.114@ufrn.edu.br., Barros G; Universidade Estadual de Campinas, Campinas, Brazil., Mutarelli A; Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Dagostin C; Universidade do Extremo Sul Catarinense, Criciúma, Brazil., Romeiro P; UNIMA/AFYA - Centro Universitário de Maceió, Maceió, Brazil., Almirón G; UNIMES - Universidade Metropolitana de Santos, Santos, Brazil., Felix N; Universidade Federal de Campina Grande, Campina Grande, Brazil., Pinheiro A; Department of Neurology, Massachusetts General Hospital, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.; Department of Internal Medicine, Elmhurst Hospital Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Bannach MA; Department of Surgery, Division of Neurosurgery, Universidade Federal de Goiás, Goiânia, Brazil.
Source: Neuroradiology [Neuroradiology] 2025 Sep; Vol. 67 (9), pp. 2399-2407. Date of Electronic Publication: 2025 Jul 30.
Publication Type: Journal Article; Systematic Review; Meta-Analysis
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 1302751 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1920 (Electronic) Linking ISSN: 00283940 NLM ISO Abbreviation: Neuroradiology Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-1920
DOI:10.1007/s00234-025-03716-9