Lung
Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, ocad191,
Nuša Farič, PhD, Sue Hinder, PhD, Robin Williams, PhD, Rishi Ramaesh, MD, Miguel O Bernabeu, PhD, Edwin van Beek, PhD, Kathrin Cresswell, PhD
Nuša Farič, PhD, Sue Hinder, PhD, Robin Williams, PhD, Rishi Ramaesh, MD, Miguel O Bernabeu, PhD, Edwin van Beek, PhD, Kathrin Cresswell, PhD
“It just works”: The smooth deployment of the lung solution at Portsmouth NHS
With Mark Gardner, Head of Radiology IT, Digital Imaging Architect at Portsmouth Hospitals University NHS Trust
Mark Gardner
When it comes to AI adoption in radiology, we often focus on the experience of the clinicians. Yet seamless use of AI wouldn’t be possible without workflow integration, made possible in collaboration with the hospitals’ IT teams.
Mark Gardner
When it comes to AI adoption in radiology, we often focus on the experience of the clinicians. Yet seamless use of AI wouldn’t be possible without workflow integration, made possible in collaboration with the hospitals’ IT teams.
Lung cancer screening rolled out nationwide in the UK
DeepHealth Lung is the preferred AI solution.
"I’m doing twice as much CT reporting": The impact of the lung solution at Salisbury NHS
With Dr Katharine Johnson, Consultant Radiologist at Salisbury NHS Foundation Trust and University Hospitals Southampton NHS Trust