Please use this identifier to cite or link to this item: https://dora.health.qld.gov.au/qldresearchjspui/handle/1/5137
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dc.contributor.authorBhandari, Abhishtaen
dc.contributor.authorScott, Lukeen
dc.contributor.authorWeilbach, Manuelaen
dc.contributor.authorMarwah, Ravien
dc.contributor.authorLasocki, Arianen
dc.date.accessioned2023-03-24T00:18:37Z-
dc.date.available2023-03-24T00:18:37Z-
dc.date.issued2023-
dc.identifier.citationBhandari, A., Scott, L., Weilbach, M., Marwah, R., & Lasocki, A. (2023). Assessment of artificial intelligence (AI) reporting methodology in glioma MRI studies using the Checklist for AI in Medical Imaging (CLAIM). Neuroradiology, 10.1007/s00234-023-03126-9. Advance online publication. https://doi.org/10.1007/s00234-023-03126-9en
dc.identifier.urihttps://dora.health.qld.gov.au/qldresearchjspui/handle/1/5137-
dc.descriptionCairns & Hinterland Hospital and Health Service (CHHHS) affiliated author: Luke Scotten
dc.description.abstractThe Checklist for Artificial Intelligence in Medical Imaging (CLAIM) is a recently released guideline designed for the optimal reporting methodology of artificial intelligence (AI) studies. Gliomas are the most common form of primary malignant brain tumour and numerous outcomes derived from AI algorithms such as grading, survival, treatment-related effects and molecular status have been reported. The aim of the study is to evaluate the AI reporting methodology for outcomes relating to gliomas in magnetic resonance imaging (MRI) using the CLAIM criteria.en
dc.language.isoenen
dc.relation.ispartofNeuroradiologyen
dc.subjectArtificial intelligenceen
dc.subjectDeep learningen
dc.subjectGliomaen
dc.subjectMachine learningen
dc.subjectQualityen
dc.titleAssessment of artificial intelligence (AI) reporting methodology in glioma MRI studies using the Checklist for AI in Medical Imaging (CLAIM)en
dc.typeArticleen
dc.identifier.doi10.1007/s00234-023-03126-9-
dc.identifier.pmid36746792-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeArticle-
Appears in Sites:Cairns & Hinterland HHS Publications
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