Work

Novel imaging predictors in pediatric lymphoma: radiomics and artificial intelligence. A systematic review

Year: 2025

Type: review

Study design: Systematic Review

Source: The Quarterly Journal of Nuclear Medicine and Molecular Imaging

DOI: 10.23736/s1824-4785.25.03648-9

Authors: Francesco FIZ, Lars KURCH, Alberto GARAVENTA, Teresa BATTAGLIA, Virginia LIVELLARA, Gianluca BOTTONI, Lise BORGWARDT, Giorgio TREGLIA, Arnoldo PICCARDO

Institutions: Ente Ospedaliero Ospedali Galliera, University Hospital Leipzig, University Hospital in Halle, Istituto Giannina Gaslini, Copenhagen University Hospital, Rigshospitalet, Centre Hospitalier Universitaire Vaudois, Ente Ospedaliero Cantonale, Istituto Imaging della Svizzera Italiana, Università della Svizzera italiana, University of Lausanne

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4416112374

FWCI: 0.25

Cites: 45

Cited by: 1

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