Document
type: Class

459488316
type: Entity
type: BFO_0000020
type: Authorship
type: Relationship
type: Continuant
type: Thing
relates: Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems

Academic Article
type: Class

Continuant
type: Class

Entity
type: Class

Generically Dependent Continuant
type: Class

Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems
related by: 459488316
type: Thing
type: Document
most specific type: Academic Article
type: Generically Dependent Continuant
type: Academic Article
type: Entity
language: English
type: Continuant
type: Information Content Entity
type: Article

Article
type: Class

English
type: Language

Information Content Entity
type: Class

individual
rights: termsOfUse
date: 2026-08-04T01:12:52
publisher: Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems
type: Document
label: RDF description of Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems - http://irises.unimi.it/resource/item/1165780