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
Editorial
. 2022 Dec 5;55(6):429-434.
doi: 10.5090/jcs.22.083. Epub 2022 Oct 19.

The Promise of Artificial Intelligence in Cardiothoracic Surgery

Affiliations
Editorial

The Promise of Artificial Intelligence in Cardiothoracic Surgery

Michael Salna. J Chest Surg. .
No abstract available

PubMed Disclaimer

Conflict of interest statement

Conflict of interest

No potential conflict of interest relevant to this article was reported.

Figures

Fig. 1
Fig. 1
Representation of decision tree (A) and ensemble learning with random forest analysis (B).
Fig. 2
Fig. 2
Representation of an artificial neural network (A) composed of individual “neurons” (B) receiving multiple inputs to generate an output.
Fig. 3
Fig. 3
Graphical representation of linear regression, a traditional statistical prediction approach, with a predicted result based on the data-derived regression equation.

References

    1. Rajkomar A, Kannan A, Chen K, et al. Automatically charting symptoms from patient-physician conversations using machine learning. JAMA Intern Med. 2019;179:836–8. doi: 10.1001/jamainternmed.2018.8558. https://doi.org/10.1001/jamainternmed.2018.8558. - DOI - PMC - PubMed
    1. Nilsson J, Ohlsson M, Thulin L, Hoglund P, Nashef SA, Brandt J. Risk factor identification and mortality prediction in cardiac surgery using artificial neural networks. J Thorac Cardiovasc Surg. 2006;132:12–9. doi: 10.1016/j.jtcvs.2005.12.055. https://doi.org/10.1016/j.jtcvs.2005.12.055. - DOI - PubMed
    1. Christodoulou E, Ma J, Collins GS, Steyerberg EW, Verbakel JY, Van Calster B. A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models. J Clin Epidemiol. 2019;110:12–22. doi: 10.1016/j.jclinepi.2019.02.004. https://doi.org/10.1016/j.jclinepi.2019.02.004. - DOI - PubMed
    1. Ranucci M, Johnson I, Willcox T, et al. Goal-directed perfusion to reduce acute kidney injury: a randomized trial. J Thorac Cardiovasc Surg. 2018;156:1918–27. doi: 10.1016/j.jtcvs.2018.04.045. https://doi.org/10.1016/j.jtcvs.2018.04.045. - DOI - PubMed
    1. Andras I, Mazzone E, van Leeuwen FW, et al. Artificial intelligence and robotics: a combination that is changing the operating room. World J Urol. 2020;38:2359–66. doi: 10.1007/s00345-019-03037-6. https://doi.org/10.1007/s00345-019-03037-6. - DOI - PubMed

Publication types

LinkOut - more resources