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Review
. 2024 Jul 8;14(13):1456.
doi: 10.3390/diagnostics14131456.

Evolving and Novel Applications of Artificial Intelligence in Thoracic Imaging

Jin Y Chang  1 , Mina S Makary  1   2
Affiliations
Review

Evolving and Novel Applications of Artificial Intelligence in Thoracic Imaging

Jin Y Chang et al. Diagnostics (Basel). .

Abstract

The advent of artificial intelligence (AI) is revolutionizing medicine, particularly radiology. With the development of newer models, AI applications are demonstrating improved performance and versatile utility in the clinical setting. Thoracic imaging is an area of profound interest, given the prevalence of chest imaging and the significant health implications of thoracic diseases. This review aims to highlight the promising applications of AI within thoracic imaging. It examines the role of AI, including its contributions to improving diagnostic evaluation and interpretation, enhancing workflow, and aiding in invasive procedures. Next, it further highlights the current challenges and limitations faced by AI, such as the necessity of 'big data', ethical and legal considerations, and bias in representation. Lastly, it explores the potential directions for the application of AI in thoracic radiology.

Keywords: artificial intelligence (AI); deep learning (DL); machine learning (ML); thorax.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
AI applications in thoracic imaging.
Figure 2
Figure 2
Representation of AI workflow in thoracic radiology.
Figure 3
Figure 3
Limitations and future directions for AI applications in thoracic imaging.
See this image and copyright information in PMC

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