Artificial intelligence and radiographer preliminary image evaluation: What might the future hold for radiographers providing x-ray interpretation in the acute setting?

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dc.contributor.authorRainey, Clareen
dc.date.accessioned2025-01-30T10:03:56Z
dc.date.available2025-01-30T10:03:56Z
dc.date.issued2024en
dc.description.abstractIn a stretched healthcare system, radiographer preliminary image evaluation in the acute setting can be a means to optimise patient care by reducing error and increasing efficiencies in the patient journey. Radiographers have shown impressive accuracies in the provision of these initial evaluations, however, barriers such as a lack of confidence and increased workloads have been cited as a reason for radiographer reticence in engagement with this practice. With advances in Artificial Intelligence (AI) technology for assistance in clinical decision-making, and indication that this may increase confidence in diagnostic decision-making with reporting radiographers, the author of this editorial wonders what the impact of this technology might be on clinical decision-making by radiographers in the provision of Preliminary Image Evaluation (PIE).en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRainey, C. (2024) 'Artificial intelligence and radiographer preliminary image evaluation: What might the future hold for radiographers providing x‐ray interpretation in the acute setting?', Journal of Medical Radiation Sciences, 71(4), pp. 495-498. https://doi.org/10.1002/jmrs.821en
dc.identifier.doihttps://doi.org/10.1002/jmrs.821en
dc.identifier.endpage498en
dc.identifier.issn20513895en
dc.identifier.issued4
dc.identifier.journaltitleJournal of Medical Radiation Sciencesen
dc.identifier.startpage495en
dc.identifier.urihttps://hdl.handle.net/10468/16928
dc.identifier.volume71
dc.language.isoenen
dc.publisherJohn Wiley and Sons Ltden
dc.rights© 2024, the Authors. This work is made available under the CC BY license (https://creativecommons.org/licenses/by/4.0/)en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectArtificial Intelligenceen
dc.subjectHumansen
dc.subjectRadiographyen
dc.subjectClinical evaluationen
dc.subjectClinical practiceen
dc.subjectDiagnostic accuracyen
dc.subjectX rayen
dc.titleArtificial intelligence and radiographer preliminary image evaluation: What might the future hold for radiographers providing x-ray interpretation in the acute setting?en
dc.typeArticle (peer reviewed)en
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