Uploaded April 2026 | Updated September 2026, 1 week ago
How can spectral CT, AI and automation help radiology departments manage rapidly growing imaging demand?
Dr. Hildo Lamb, Professor of Radiology at Leiden University Medical Center, discusses the exponential growth in CT examinations and the workforce challenges facing radiology departments worldwide.
He explores how artificial intelligence and automation can help radiology teams manage increasing scan volumes while creating more time for clinical work and innovation. Dr. Lamb also highlights spectral CT and its ability to support tissue decomposition, providing additional information that can help radiologists make more precise diagnoses.
Looking ahead, greater automation in medical imaging could also help radiographers operate imaging systems more efficiently and enable radiology departments to expand capacity despite workforce shortages.
Discover how spectral CT, AI and imaging automation could reshape radiology workflows and diagnostic imaging in the years ahead.
How can spectral CT, AI and automation help radiology departments manage rapidly growing imaging demand?
Dr. Hildo Lamb, Professor of Radiology at Leiden University Medical Center, discusses the exponential growth in CT examinations and the workforce challenges facing radiology departments worldwide.
He explores how artificial intelligence and automation can help radiology teams manage increasing scan volumes while creating more time for clinical work and innovation. Dr. Lamb also highlights spectral CT and its ability to support tissue decomposition, providing additional information that can help radiologists make more precise diagnoses.
Looking ahead, greater automation in medical imaging could also help radiographers operate imaging systems more efficiently and enable radiology departments to expand capacity despite workforce shortages.
Discover how spectral CT, AI and imaging automation could reshape radiology workflows and diagnostic imaging in the years ahead.
