Turkish Society of Radiology artificial intelligence applications guide: a roadmap to help navigate the artificial intelligence landscape

dc.contributor.authorDicle, Oğuz
dc.contributor.authorAtak, Fırat
dc.contributor.authorŞenol, Abdullah Utku
dc.contributor.authorÖzmen, Mustafa Nasuh
dc.contributor.authorHürsoy, Nur
dc.contributor.authorGezer, Naciye Sinem
dc.contributor.authorAydıngöz, Üstün
dc.date.accessioned2025-12-03T06:23:52Z
dc.date.issued2025
dc.departmentRTEÜ, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü
dc.description.abstractThis article introduces the artificial intelligence (AI) applications guide developed by the Turkish Society of Radiology (TSR) and provides a commentary on its framework, strengths, and areas for future development. The proliferation of accessible data, accelerated information processing capabilities, and the development of advanced algorithmic tools such as convolutional neural networks have led to a significant leap in AI studies. The field of radiology, with its growing imaging workload and reliance on archivable data, has naturally assumed a pioneering role in AI applications.
dc.identifier.citationDicle, O., Atak, F., Şenol, A. U., Özmen, M. N., Hürsoy, N., Gezer, N. S., & Aydıngöz, Ü. (2025). Turkish Society of Radiology artificial intelligence applications guide: a roadmap to help navigate the artificial intelligence landscape. Diagnostic and interventional radiology (Ankara, Turkey), 10.4274/dir.2025.253489. Advance online publication. https://doi.org/10.4274/dir.2025.253489
dc.identifier.doi10.4274/dir.2025.253489
dc.identifier.issn1305-3825
dc.identifier.pmid41098094
dc.identifier.urihttps://doi.org/10.4274/dir.2025.253489
dc.identifier.urihttps://hdl.handle.net/11436/11630
dc.indekslendigikaynakPubMed
dc.institutionauthorHürsoy, Nur
dc.language.isoen
dc.publisherGalenos Publishing House
dc.relation.ispartofDiagnostic and Interventional Radiology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleTurkish Society of Radiology artificial intelligence applications guide: a roadmap to help navigate the artificial intelligence landscape
dc.typeArticle

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