Advancements in Pulmonary Imaging and AI Applications
*Corresponding Author: Dr. Tawanda Moyo, Department of Pulmonary Imaging, University of Zimbabwe, Zimbabwe, Email: t.moyo@pulmorad.zwReceived Date: Jun 03, 2025 / Published Date: Jun 30, 2025
Citation: Moyo DT (2025) Advancements in Pulmonary Imaging and AI Applications. J Radiol 14: 702.DOI: 10.4172/2167-7964.1000702
Copyright: © 2025 Dr. Tawanda Moyo This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
This compilation of studies details advancements in pulmonary imaging, covering artificial intelligence (AI) in diagnostics, optimized low-dose CT (LDCT) for lung cancer screening, and novel technologies like photon-counting detector CT (PCD-CT). It explores advanced MRI techniques for diffuse lung diseases, imaging manifestations of COVID-19 pneumonia, and the role of deep learning in nodule detection. The importance of systematic interpretation for interstitial lung diseases, the use of imaging biomarkers for lung cancer treatment response, and CT in chronic obstructive pulmonary disease (COPD) are discussed. Finally, the utility of FDG-PET/CT for pulmonary nodules and lung cancer evaluation is reviewed.
