Tehran University of Medical Sciences Frontiers in Biomedical Technologies 2345-5837 12 2 2025 03 01 205 209 Ali Tarighatnia Department of Medical Physics, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran Masoud Amanzadeh Department of Health Information Management, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran Mahnaz Hamedan Department of Health Information Management, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran Mahnaz Kiani Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran Nader D. Nader Department of Anesthesiology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA 2024 12 25 2025 01 15 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 https://fbt.tums.ac.ir/index.php/fbt/article/view/1182 https://fbt.tums.ac.ir/index.php/fbt/article/download/1182/488