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Artificial intelligence and radiomics for pediatric brain tumor classification and molecular characterization: a systematic review.

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Bibliographic Details
Title:	Artificial intelligence and radiomics for pediatric brain tumor classification and molecular characterization: a systematic review.
Authors:	Reyes JS; Cancer and Molecular Medicine Research Group (CAMMO), Bogota D.C., Colombia. reyesbarretojs@upmc.edu., Estupiñan-Pepinosa DF; Cancer and Molecular Medicine Research Group (CAMMO), Bogota D.C., Colombia., Leal-Giraldo SI; Cancer and Molecular Medicine Research Group (CAMMO), Bogota D.C., Colombia., Cordoba-Gallego MF; Cancer and Molecular Medicine Research Group (CAMMO), Bogota D.C., Colombia., Silva-López MP; Cancer and Molecular Medicine Research Group (CAMMO), Bogota D.C., Colombia., Aguirre-Patiño JS; Cancer and Molecular Medicine Research Group (CAMMO), Bogota D.C., Colombia., Gordillo-Iriarte LS; Cancer and Molecular Medicine Research Group (CAMMO), Bogota D.C., Colombia., Cabezas CS; Cancer and Molecular Medicine Research Group (CAMMO), Bogota D.C., Colombia., Vega-Alvear RF; Cancer and Molecular Medicine Research Group (CAMMO), Bogota D.C., Colombia., Navarro-Ramirez LM; Cancer and Molecular Medicine Research Group (CAMMO), Bogota D.C., Colombia.
Source:	Neuroradiology [Neuroradiology] 2026 May; Vol. 68 (5), pp. 1235-1250. Date of Electronic Publication: 2026 Mar 27.
Publication Type:	Systematic Review; Journal Article; Review
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/s00234-026-03976-z