Turkish Society of Radiology artificial intelligence applications guide: a roadmap to help navigate the artificial intelligence landscape
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Galenos Publishing House
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info:eu-repo/semantics/openAccess
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This 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.
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Diagnostic and Interventional Radiology
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Dicle, 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











