Oğuz DICLE, Fırat ATAK, Abdullah Utku ŞENOL, Mustafa Nasuh ÖZMEN, Nur HÜRSOY, Naciye Sinem GEZER, Üstün AYDINGÖZ
Diagnostic and Interventional Radiology - 2026;32(4):391-392
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 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. Amid ongoing concerns that AI may pose a threat to the profession, the TSR recognized its responsibility to support its members by providing a guide that promotes the responsible use of AI to enhance diagnostic speed, accuracy, and efficiency-ultimately benefiting patient care. The preparation of the guide involved a dedicated team effort, beginning with a comprehensive literature review, followed by expert-led identification of the main sections, and collaborative content development through group discussions. This article introduces the guide, assesses its strengths and areas for improvement, and encourages feedback from the scientific community to inform future updates. The guide was published in both Turkish and English on the society's website on April 10, 2025.
