Join us at SNMMI 2024 in Toronto!
Join us at the 2024 Society of Nuclear Medicine and Molecular Imaging (SNMMI) annual meeting in Toronto. We are excited to invite you to visit the United Imaging booth at #1325, where we will be sharing our views and innovations for the future of Molecular Imaging. Discover our groundbreaking PET/CT scanners uMI 550 and uMI Panorama. Experience the latest uMI Panorama GS, which was born to advance whole-body imaging with 148 cm axial FOV and its transformative AI-driven technologies. Come engage with us and witness innovations firsthand! Looking forward to seeing you in Toronto！
Congress Information
Date: June 8 – 11
Location: Toronto, Canada
Venue: Metro Toronto Center
uMI Panorama GS: Novel PET/CT System with 148 cm Axial Field-of-View
Li Huo, M.D.
Orchestrating Theranostic Precision with Total-body PET/CT
Harshad R. Kulkarni, M.D.
Initial Human Images and Future Applications of the NeuroEXPLORER (NX), a Next-Generation Ultra-High Performance Human Brain PET Imager
Richard Carson, Ph.D.
Recent PET-MR Experiences at Fred Hutch Cancer Center - Clinical and Operational Perspectives
Delphine L. Chen, M.D.
Total-Body PET: Looking beyond Current Uses
Ramsey D. Badawi, Ph.D.
Total-Body PET/CT: Expanding the PET Clinical Applications
Hongcheng Shi, M.D., Ph.D.
Harnessing the Theranostic Potential of Total-Body PET/CT
Harshad R. Kulkarni, M.D.
Total-Body PET/CT: Booster the Clinical Translation of New Molecular Probes
Zhi Yang, Ph.D.
Redefining Performance Standards for Wholebody PET-CT Imaging：uMI 780 and uMI Panorama PET/CT
Jeffrey T. Yap, Ph.D.
Innovative Tools for Innovative Clinical Applications: uMI Panorama Clinical Translational Research at Peking Union Medical College Hospital
Li Huo, M.D.
uMI Oncology Solution
Leaping forward in cancer care through precision and efficiency
uMI Neurology Solution
Unleashing the frontiers of clinical and research in neurology
uMI Cardiology Solution
Elevating cardiac diagnosis with precision in every beat
AI Solution for Molecular Imaging
Redefining molecular imaging experience with AI technologies
