Christian Allouche

Through his visionary leadership and innovative approach, Christian Allouche has tackled critical challenges in radiology, paving the way for the widespread adoption of AI-based solutions in medical imaging. Christian’s career trajectory is defined by his pioneering use of AI to empower radiologists. His entrepreneurial spirit, combined with a deep commitment to improving healthcare outcomes, has driven his remarkable achievements and contributions to the field.

In 2017, Christian founded Gleamer with the goal of developing cutting-edge, AI-driven technologies to assist healthcare professionals in managing increasing demand and addressing the shortage of specialists. Since then, he has been at the forefront of creating AI tools that enhance efficiency and speed without compromising diagnostic accuracy.

Christian's accomplishments extend beyond technological innovation; he has also successfully built a scalable company. Under his leadership, the France-based company Gleamer has become an international player in AI-driven radiology, earning regulatory approvals in Europe and internationally, notably including FDA clearance in the U.S. Today, Gleamer’s solutions are deployed in more than 2,000 institutions across 40 countries, with the U.S. accounting for about 30% of its commercial activity. The solutions have been validated in over 80 clinical studies and highlighted in 25 scientific publications. In 2022, a study published in Radiology supported by Gleamer won the annual Alexander R. Margulis Award for Scientific Excellence that recognizes the best original scientific article published in the journal for a given year. (Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence | Radiology) 

Beyond his technological and business successes, Christian has a broader vision to enable radiologists to focus on the most complex cases and on patient care, emphasizing the complementary nature of AI in supporting healthcare professionals as they execute their critical roles. He actively engages with both the radiology and AI communities, fostering partnerships to ensure that AI solutions meet clinical viability and applicability requirements.