Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2022 Aug 31;12(9):1429.
doi: 10.3390/jpm12091429.

How Artificial Intelligence in Imaging Can Better Serve Patients with Bronchial and Parenchymal Lung Diseases?

Trieu-Nghi Hoang-Thi  1 , Guillaume Chassagnon  2 , Hai-Dang Tran  1 , Nhat-Nam Le-Dong  3 , Anh Tuan Dinh-Xuan  3 , Marie-Pierre Revel  2
Affiliations
Review

How Artificial Intelligence in Imaging Can Better Serve Patients with Bronchial and Parenchymal Lung Diseases?

Trieu-Nghi Hoang-Thi et al. J Pers Med. .

Abstract

With the rapid development of computing today, artificial intelligence has become an essential part of everyday life, with medicine and lung health being no exception. Big data-based scientific research does not mean simply gathering a large amount of data and letting the machines do the work by themselves. Instead, scientists need to identify problems whose solution will have a positive impact on patients' care. In this review, we will discuss the role of artificial intelligence from both physiological and anatomical standpoints, starting with automatic quantitative assessment of anatomical structures using lung imaging and considering disease detection and prognosis estimation based on machine learning. The evaluation of current strengths and limitations will allow us to have a broader view for future developments.

Keywords: artificial intelligence; bronchial disease; machine learning; parenchymal lung disease.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The four terms related to AI and their interrelationship in radiology.
Figure 2
Figure 2
Timeline of AI development with two AI booms in the past and the current third AI boom. Advances in CAD research are intertwined with advances in AI technology.
Figure 3
Figure 3
Lung anatomical and physiological parameters explored by artificial intelligence.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Copeland B. Encyclopedia Britannica. Artificial Intelligence. 2020. [(accessed on 23 August 2022)]. Available online: https://www.britannica.com/technology/artificial-intelligence.
    1. McCarthy J., Minsky M.L., Rochester N., Shannon C.E. A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955. AI Mag. 2006;27:12. doi: 10.1609/aimag.v27i4.1904. - DOI
    1. Crevier D. The Tumultuous History of the Search for Artificial Intelligence. Basic Books, Inc.; New York, NY, USA: 1993. 432p. - DOI
    1. McCorduck P. Machines Who Think. A K Peters; New York, NY, USA: CRC Press; New York, NY, USA: 2004. Boom of the 1980s: Rise of Expert Systems, Fifth Generation Project, Alvey, MCC, SCI; pp. 426–441.
    1. McKevitt P. Daniel Crevier, AI: The Tumultuous History of the Search for Artificial Intelligence. London and New York: Basic Books, 1993. Pp. xiv 386. ISBN 0-465-02997-3. £17.99, $27.50. Br. J. Hist. Sci. 1997;30:101–121. doi: 10.1017/S0007087496302963. - DOI

LinkOut - more resources