[Radiomics and artificial intelligence: new frontiers in medicine.]

Radiomica e intelligenza artificiale: nuove frontiere in medicina.

Journal

Recenti progressi in medicina
ISSN: 2038-1840
Titre abrégé: Recenti Prog Med
Pays: Italy
ID NLM: 0401271

Informations de publication

Date de publication:
03 2020
Historique:
entrez: 12 3 2020
pubmed: 12 3 2020
medline: 15 12 2020
Statut: ppublish

Résumé

Radiomics is a new frontier of medicine based on the extraction of quantitative data from radiological images which can not be seen by radiologist's naked eye and on the use of these data for the creation of clinical decision support systems. The long-term goal of radiomics is to improve the non-invasive diagnosis of focal and diffuse diseases of different organs by understanding links between extracted quantitative imaging data and the underlying molecular and pathological characteristics of lesions. In the last decade, several studies have highlighted the enormous potential of radiomics in both tumoral and non-tumoral diseases of many organs and systems including brain, lung, breast, gastrointestinal and genitourinary tracts. The enormous potential of radiomics needs to be pursued with the methodological rigor of scientific research and by integrating radiological data with other medical disciplines, in order to improve personalized patient management.

Identifiants

pubmed: 32157259
doi: 10.1701/3315.32853
doi:

Types de publication

Journal Article Review

Langues

ita

Sous-ensembles de citation

IM

Pagination

130-135

Auteurs

Federica Vernuccio (F)

Dipartimento di Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica e di Eccellenza "G. D'Alessandro" (ProMISE), Università di Palermo.

Roberto Cannella (R)

Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata, Università di Palermo.

Albert Comelli (A)

Fondazione RiMED, Palermo.

Giuseppe Salvaggio (G)

Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata, Università di Palermo.

Roberto Lagalla (R)

Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata, Università di Palermo.

Massimo Midiri (M)

Dipartimento di Biomedicina, Neuroscienze e Diagnostica avanzata, Università di Palermo.

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Classifications MeSH