AI and Novel Techniques in Thoracic Imaging
*Corresponding Author: Dr. Wei Zhang, Department of Thoracic Imaging, Peking Medical University, China, Email: w.zhang@thorax.cnReceived Date: Mar 03, 2025 / Published Date: Mar 31, 2025
Citation: Zhang DW (2025) AI and Novel Techniques in Thoracic Imaging. J Radiol 14: 670.DOI: 10.4172/2167-7964.1000670
Copyright: © 2025 Dr. Wei Zhang 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 reviews recent breakthroughs in thoracic imaging, emphasizing artificial intelligence integration for enhanced diagnostics of lung conditions. It explores radiomics, deep learning for cancer detection, and advanced MRI/CT techniques for interstitial lung disease and nodules. The impact of COVID-19 imaging, AI in cardiothoracic radiology, low-dose CT screening, thoracic ultrasound, and PET/CT in lung cancer management are also discussed. These advancements collectively aim to improve diagnostic accuracy and patient care.
