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Applications of artificial intelligence for machine- and patient-specific quality assurance in radia...

Applications of artificial intelligence for machine- and patient-specific quality assurance in radia...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11262865

Applications of artificial intelligence for machine- and patient-specific quality assurance in radiation therapy: current status and future directions

About this item

Full title

Applications of artificial intelligence for machine- and patient-specific quality assurance in radiation therapy: current status and future directions

Publisher

England: Oxford University Press

Journal title

Journal of radiation research, 2024-07, Vol.65 (4), p.421-432

Language

English

Formats

Publication information

Publisher

England: Oxford University Press

More information

Scope and Contents

Contents

Machine- and patient-specific quality assurance (QA) is essential to ensure the safety and accuracy of radiotherapy. QA methods have become complex, especially in high-precision radiotherapy such as intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT), and various recommendations have been reported by AAPM Task G...

Alternative Titles

Full title

Applications of artificial intelligence for machine- and patient-specific quality assurance in radiation therapy: current status and future directions

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11262865

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11262865

Other Identifiers

ISSN

0449-3060,1349-9157

E-ISSN

1349-9157

DOI

10.1093/jrr/rrae033

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