Applied Chest Imaging Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, United States.
Br J Radiol. 2022 Apr 1;95(1132):20210527. doi: 10.1259/bjr.20210527. Epub 2021 Dec 10.
Artificial intelligence (AI) is transforming the way we perform advanced imaging. From high-resolution image reconstruction to predicting functional response from clinically acquired data, AI is promising to revolutionize clinical evaluation of lung performance, pushing the boundary in pulmonary functional imaging for patients suffering from respiratory conditions. In this review, we overview the current developments and expound on some of the encouraging new frontiers. We focus on the recent advances in machine learning and deep learning that enable reconstructing images, quantitating, and predicting functional responses of the lung. Finally, we shed light on the potential opportunities and challenges ahead in adopting AI for functional lung imaging in clinical settings.
人工智能（AI）正在改变我们进行高级成像的方式。从高分辨率图像重建到从临床获得的数据预测功能反应，人工智能有望彻底改变对肺功能的临床评估，为患有呼吸疾病的患者推动肺功能成像的边界。在这篇综述中，我们概述了当前的发展，并阐述了一些令人鼓舞的新前沿。我们专注于机器学习和深度学习的最新进展，这些进展能够重建图像、定量和预测肺部的功能反应。最后，我们探讨了在临床环境中采用人工智能进行功能肺部成像的潜在机遇和挑战。
