JRM
Journal of Radiology in Medicine

Journal of Radiology in Medicine is an international journal that published original research and articles in all areas of radiology. Its publishes original research articles, review articles, case reports, editorial commentaries, letters to the editor, educational articles, and conference/meeting announcements.

eISSN: 3023-6487
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Artificial intelligence and ethics in radiology
Abstract
Artificial intelligence (AI) is reshaping radiology by enhancing diagnostic accuracy, optimizing workflows, and supporting clinical decision-making. Despite over 500 FDA-approved algorithms, adoption remains limited due to ethical, legal, and operational challenges. Key concerns include data privacy, algorithmic bias, explainability, and accountability. Inadequate representation in training datasets can perpetuate healthcare disparities, while “black-box” decision-making undermines trust and complicates liability. Ethical governance must integrate transparency, fairness, and human oversight from system design through implementation. Data protection frameworks, such as GDPR and Türkiye’s KVKK, mandate anonymization, informed consent, and secure handling of imaging data. Privacy safeguards—metadata cleaning, pixel-level masking, and defacing—are essential to prevent re-identification. Commercial use of health data requires explicit consent, strict oversight, and equitable benefit-sharing. Explainable AI techniques and human-in-the-loop designs can improve trust and reliability. In Türkiye, AI-specific regulations are emerging, with the 2024 Draft AI Law introducing risk-based classification and governance requirements. Global frameworks, including FUTURE-AI and UNESCO guidelines, provide structured pathways for ethical integration. Ensuring AI in radiology is safe, fair, and socially responsible depends on embedding ethical principles into every stage of its lifecycle, fostering interdisciplinary collaboration, and maintaining active oversight to align technological progress with human dignity.

Keywords : Artificial intelligence, radiology, ethics, data privacy, algorithmic bias

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Article available in :
Volume 3, Issue 1, 2026
Page : 15-21
https://doi.org/10.51271/JRM-0044
Article Information
Received : 09 Ağu 2025
Accepted : 24 Eyl 2025
Published : 09 Mar 2026
Corresponding Author :

Ahmet Bozer: Department of Radiology, İzmir City Hospital, İzmir, Turkiye

[email protected]
Citation : Bozer A. Artificial Intelligence and ethics in radiology. J Radiol Med. 2026;3(1):15-21.

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