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Challenges and opportunities in the development and clinical implementation of artificial intelligence based synthetic computed tomography for magnetic resonance only radiotherapy

par Villegas, Fernanda;Dal Bello, Riccardo;Alvarez-Andres, Emilie;Dhont, Jennifer ;Janssen, Tomas;Milan, Lisa;Robert, Charlotte;Salagean, Ghizela Ana Maria;Tejedor, Natalia;Trnková, Petra;Fusella, Marco;Placidi, Lorenzo;Cusumano, Davide
Référence Radiotherapy and oncology, 198, 110387
Publication Publié, 2024-09

Article révisé par les pairs

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Titre:	Challenges and opportunities in the development and clinical implementation of artificial intelligence based synthetic computed tomography for magnetic resonance only radiotherapy
Auteur:	Villegas, Fernanda; Dal Bello, Riccardo; Alvarez-Andres, Emilie; Dhont, Jennifer; Janssen, Tomas; Milan, Lisa; Robert, Charlotte; Salagean, Ghizela Ana Maria; Tejedor, Natalia; Trnková, Petra; Fusella, Marco; Placidi, Lorenzo; Cusumano, Davide
Informations sur la publication:	Radiotherapy and oncology, 198, 110387
Statut de publication:	Publié, 2024-09
Sujet CREF:	Imagerie médicale, radiologie, tomographie
	Hématologie
	Cancérologie
Mots-clés:	Artificial intelligence
	Clinical implementation
	Deep learning
	MR-only planning
	MR-only radiotherapy
	Synthetic CT
Note générale:	SCOPUS: re.j
Langue:	Anglais
Identificateurs:	urn:issn:0167-8140
	info:doi/10.1016/j.radonc.2024.110387
	info:pii/S0167814024006571
	info:scp/85196430902
	info:pmid/38885905