
Recently, interest and advances in artificial intelligence (AI), including deep learning for medical images, have surged. As imaging plays a significant role in assessing pulmonary diseases, various AI algorithms have been developed for chest imaging. This review introduces the potential clinical applications of AI in chest imaging. Also, it discusses the challenges of implementing AI in daily clinical practice and future directions in chest imaging.
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