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Updated: Dec 24, 2025

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
Published on: April 12, 2024
[Medical imaging professionals and related specialties : a questioning is essential!]
1Service de Radiothérapie, CHU Liège, Belgique.
Abstract:
Nowadays, we are facing an overwhelming amount of public announcements concerning the rise of artificial intelligence (AI) in the world of medical imaging (including radiology, nuclear medicine and radiotherapy). While most of the applications are still limited to specific niches, there is a general trend to build real transversal platforms. Multiple industrial players, in collaboration with the clinicians in the field, are striving to build those platforms in order to offer plenty of use cases of AI for several purposes and needs (screening/detection, diagnosis and prediction). It is already undeniable that AI far exceeds human capabilities in terms of resolution, speed of image analysis and efficiency. Negative attitudes and skepticism from concerned professionals should be banned. Colla¬boration with data scientists and engineers for the large scale development and implementation should be pushed forward for the benefit of both patients and payers.
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