Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/60495
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dc.contributor.authorAydin, Sonay-
dc.contributor.authorEce, Bunyamin-
dc.contributor.authorCakmak, Vefa-
dc.contributor.authorKocak, Burak-
dc.contributor.authorOnur, Mehmet Ruhi-
dc.date.accessioned2025-07-20T20:26:29Z-
dc.date.available2025-07-20T20:26:29Z-
dc.date.issued2025-
dc.identifier.issn1867-1071-
dc.identifier.issn1867-108X-
dc.identifier.urihttps://doi.org/10.1007/s11604-025-01819-0-
dc.identifier.urihttps://hdl.handle.net/11499/60495-
dc.description.abstractEmergency radiology has evolved into a significant subspecialty over the past 2 decades, facing unique challenges including escalating imaging volumes, increasing study complexity, and heightened expectations from clinicians and patients. This review provides a comprehensive overview of the key requirements for an effective emergency radiology unit. Emergency radiologists play a crucial role in real-time decision-making by providing continuous 24/7 support, requiring expertise across various organ systems and close collaboration with emergency physicians and specialists. Beyond image interpretation, emergency radiologists are responsible for organizing staff schedules, planning equipment, determining imaging protocols, and establishing standardized reporting systems. Operational considerations in emergency radiology departments include efficient scheduling models such as circadian-based scheduling, strategic equipment organization with primary imaging modalities positioned near emergency departments, and effective imaging management through structured ordering systems and standardized protocols. Preparedness for mass casualty incidents requires a well-organized workflow process map detailing steps from patient transfer to image acquisition and interpretation, with clear task allocation and imaging pathways. Collaboration between emergency radiologists and physicians is essential, with accurate communication facilitated through various channels and structured reporting templates. Artificial intelligence has emerged as a transformative tool in emergency radiology, offering potential benefits in both interpretative domains (detecting intracranial hemorrhage, pulmonary embolism, acute ischemic stroke) and non-interpretative applications (triage systems, protocol assistance, quality control). Despite implementation challenges including clinician skepticism, financial considerations, and ethical issues, AI can enhance diagnostic accuracy and workflow optimization. Teleradiology provides solutions for staff shortages, particularly during off-hours, with hybrid models allowing radiologists to work both on-site and remotely. This review aims to guide stakeholders in establishing and maintaining efficient emergency radiology services to improve patient outcomes.en_US
dc.description.sponsorshipKastamonu University [4.5]en_US
dc.description.sponsorshipDuring the preparation of this work, some of the authors used ChatGPT (versions 4o and 4.5) solely to improve the language and clarity of the text originally drafted by the authors. All content was carefully reviewed and edited to ensure accuracy and integrity. The authors take full responsibility for the final version of the manuscript.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEmergency Radiologyen_US
dc.subjectMass Casualty Incidentsen_US
dc.subjectTeleradiologyen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectOperational Workflowen_US
dc.subjectInterdisciplinary Collaborationen_US
dc.titleEmergency Radiology: Roadmap for Radiology Departmentsen_US
dc.typeArticleen_US
dc.departmentPamukkale Universityen_US
dc.identifier.doi10.1007/s11604-025-01819-0-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid56919231700-
dc.authorscopusid57190287798-
dc.authorscopusid36179481300-
dc.authorscopusid56381293600-
dc.authorscopusid21739759000-
dc.authorwosidEce, Bünyamin/Hni-1414-2023-
dc.authorwosidCakmak, Vefa/Aal-3787-2020-
dc.authorwosidOnur, Mehmet/Jbr-8480-2023-
dc.identifier.pmid40540107-
dc.identifier.scopus2-s2.0-105008645758-
dc.identifier.wosWOS:001512529300001-
dc.identifier.scopusqualityQ2-
dc.description.woscitationindexScience Citation Index Expanded-
dc.identifier.wosqualityQ3-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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