none 10.18502/fbt.v12i2.18267 Knowledge E DMCC Knowledge E DMCC 7770 174011588 354057 1772014137 10.18502 2026-02-25T10:08:58Z 2025-03-25T04:38:37Z 0 Frontiers in Biomedical Technologies fbt 2345-5837 03 25 2025 Ali Tarighatnia Masoud Amanzadeh Mahnaz Hamedan Mahnaz Kiani Nader D. Nader Large Language Models (LLMs) have the potential to revolutionize medical imaging by improving diagnostic accuracy, enhancing workflow efficiency, and advancing personalized medicine. However, addressing the challenges related to data privacy, hallucinations, interpretability, bias, and regulatory issues is crucial for the successful and ethical integration of LLMs into clinical practice. Collaboration between radiologists, AI developers, and other stakeholders is essential to ensure this technology benefits patients and healthcare providers. 03 18 2025 10.18502/fbt.v12i2.18267 https://publish.kne-publishing.com/index.php/fbt/article/view/18267 https://publish.kne-publishing.com/index.php/fbt/article/download/18267/17038 https://publish.kne-publishing.com/index.php/fbt/article/download/18267/17038 https://fbt.tums.ac.ir/index.php/fbt/article/view/1182