The AI coup d'état!

A head of a two-hour debate on how AI is reshaping radiology work at the Iranian Conference of AI in Radiology, an informal discussion during a coffee break set the tone for the day. Prof. Jalal-Shokuhi, former president of the Iranian Society of Radiology, described the rise of AI as an “AI coup d’état.” Rather than seeing it as a simple technological change or revolution, he framed it as a direct challenge to radiological expertise and professional identity—one that calls for a thoughtful response. 

His message was clear: AI should not be ignored or resisted, but deeply understood, mastered, and integrated into the core of the profession. While radiology has faced technological disruption before, this moment was described as fundamentally different.

The workshop and broader program showcased a wide range of AI use cases in radiology, hands-on experiments with emerging tools, cutting-edge research, and innovative diagnostic and treatment solutions. Many of these initiatives were developed despite limited resources and international sanctions, highlighting the strength and resilience of professional communities. The discussions underscored how expertise transcends borders, enabling collaboration around a shared mission: contributing to human health.

As part of the LIAISON project, Mohammad participated in the workshop to share ongoing research from the KIN Center for Digital Innovation (Vrije Universiteit Amsterdam) and Leiden University Medical Center. The contribution focused on how AI can be integrated into radiology workflows, with particular attention to change, learning processes, and professional practice (as also reflected in the book AI Implementation in Radiology).