40th Iranian Congress of Radiology

The Iranian Conference on AI in Radiology opened with an informal coffee-break discussion that set the stage for a two-hour debate on the impact of AI on radiology work. Prof. Jalal-Shokuhi, former president of the Iranian Society of Radiology, described AI’s rise as an “AI coup d’état.” He framed it not merely as a technological advancement, but as a direct challenge to radiologists’ expertise and professional identity—requiring careful reflection and engagement.

His message was clear: AI should neither be ignored nor resisted, but understood, mastered, and thoughtfully integrated into everyday practice. While radiology has experienced technological change in the past, this shift was portrayed as unprecedented in scope and significance.

The conference program included workshops and sessions highlighting diverse AI applications in radiology, hands-on experiments with emerging tools, innovative research, and new diagnostic and treatment solutions. Many initiatives had been developed despite limited resources and international sanctions, underscoring the resilience and determination of professional communities. The discussions emphasized that expertise transcends national borders, fostering collaboration toward a shared goal: improving human health.

Representing the LIAISON project, Mohammad contributed to the workshop by presenting ongoing research from the KIN Center for Digital Innovation (Vrije Universiteit Amsterdam) and Leiden University Medical Center. His presentation focused on integrating AI into radiology workflows, emphasizing the importance of professional learning, adaptation, and practice—topics also explored in the book AI Implementation in Radiology.