THE IMPACT OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY: A COMPREHENSIVE REVIEW OF CLINICAL AND EDUCATIONAL PERSPECTIVES
DOI:
https://doi.org/10.31435/ijitss.3(51).2026.6001Keywords:
Artificial Intelligence, Diagnostic Imaging, Deep Learning, Medical Education, Workflow Optimization, Augmented IntelligenceAbstract
Aim of the study: The aim of this study was to analyze the impact of artificial intelligence (AI) on the development of modern radiology, with a particular focus on technological, clinical, economic and educational aspects [11, 14, 30].
Materials and methods: A review of 30 scientific publications (2017–2026) from PubMed, Scopus, and Google Scholar databases was conducted. The analysis included articles regarding innovations in imaging (CT, MRI) [15, 19], the clinical effectiveness of algorithms [7, 22], and survey-based studies evaluating the attitudes of medical students and healthcare professionals toward AI [3, 16].
Results: The analysis demonstrated that AI significantly improves workflow through the automation of repetitive tasks and supports precision diagnostics in oncology and emergency medicine [2, 13, 17]. A positive impact of AI on the cost-effectiveness of hospitals was also shown [5, 30]. However, barriers were identified, including a lack of adequate education for medical students and professional concerns among future staff, resulting in distancing from radiology as a specialty [9, 26].
Conclusions: Artificial intelligence does not replace radiologists but redefines their role, positioning them as overseers of digital processes [1, 12]. It is essential to update curricula to prepare future physicians for effective and ethical collaboration with algorithms, which will enable the full potential of „augmented intelligence” to be utilized [4, 26].
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Copyright (c) 2026 Magdalena Bulenda, Natalia Strugała, Martyna Wiśniewska, Julia Żurek, Klaudia Bednarska, Ewelina Sapała, Jakub Skrzeczyna, Daria Wojtaszkiewicz, Marcela Noworolska, Michał Kostrzewski, Nina Ciećkiewicz
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