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Cost-Saving Potential of AI-Driven Solutions in Radiology: Analyzing Workflow Efficiency and Salary Reductions

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dc.conference.date2025
dc.conference.part1
dc.conference.proceedingstitleProceedings of the international scientific conference Hradec Economic Days 2025
dc.conference.titleHradec Economic Days 2025
dc.contributor.authorŘehoř, Marek
dc.contributor.authorKvak, Daniel
dc.contributor.editorKral, Martin
dc.contributor.editorMaresova, Petra
dc.contributor.editorFirlej, Krzysztof
dc.contributor.editorSoukal, Ivan
dc.date.accessioned2025-04-16T08:19:45Z
dc.date.available2025-04-16T08:19:45Z
dc.date.issued2025
dc.format.epage284
dc.format.spage275
dc.identifier.doi10.36689/uhk/hed/2025-01-025
dc.identifier.isbn9788074359453
dc.identifier.issn24646067
dc.identifier.urihttp://hdl.handle.net/20.500.12603/909
dc.publisherUniversity of Hradec Kralove
dc.relation.ispartofseriesHradec Economic Days;15
dc.relation.volume15
dc.rights.accessOpen Access
dc.rights.licenseCC BY
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleCost-Saving Potential of AI-Driven Solutions in Radiology: Analyzing Workflow Efficiency and Salary Reductions

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HED - Hradec Economic Days 2025