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Gus Iversen, Editor in Chief | March 26, 2026
GE HealthCare and the Stanford Medicine Department of Radiology are expanding a decades-long research relationship with the creation of a joint center of excellence focused on advancing medical imaging technologies.
The collaboration, which builds on more than 40 years of joint work, will support research programs spanning MR, CT, molecular imaging, AI, pharmaceutical diagnostics and interventional radiology. The effort is intended to bring research and clinical application closer together, with an emphasis on translating new imaging techniques into practice.
The center will focus on high-performance imaging, integration across imaging modalities and accelerating translational research. Both organizations said the initiative is designed to combine academic research, clinical expertise and engineering capabilities.
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“GE HealthCare has long been a leader in imaging innovation, and our collaboration has consistently demonstrated how deeply their technological expertise can elevate scientific discovery and clinical practice,” said Dr. Umar Mahmood, chair of the Stanford Medicine Department of Radiology. “Our renewed collaboration will enable us to push the boundaries of what advanced imaging can deliver for patients, aiming to set a new standard for what’s possible in radiology.”
Research efforts will include work on MR applications across multiple specialties, as well as AI tools for image analysis, protocol optimization and scheduling. The collaboration will also involve clinical evaluation of GE HealthCare’s photon-counting CT system, recently cleared by the U.S. Food and Drug Administration, and new total-body PET/CT technology.
Additional projects will explore minimally invasive, image-guided procedures within interventional radiology.
The partnership reflects a long history of joint development work between the Chicago-based GE HealthCare and Stanford researchers. According to the organizations, prior collaboration has resulted in more than 150 funded research projects, nearly 200 peer-reviewed publications and dozens of patents.
Recent work has included contributions to MR technologies and workflow platforms, as well as research into CT dose reduction, image quality improvements and hybrid molecular imaging techniques.
