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Editorial
. 2023 Apr 6;12(7):2734.
doi: 10.3390/jcm12072734.

Artificial Intelligence in Cardiology: Why So Many Great Promises and Expectations, but Still a Limited Clinical Impact?

Gian Luigi Nicolosi  1
Affiliations
Editorial

Artificial Intelligence in Cardiology: Why So Many Great Promises and Expectations, but Still a Limited Clinical Impact?

Gian Luigi Nicolosi. J Clin Med. .

Abstract

Looking at the extremely large amount of literature, as summarized in two recent reviews on applications of Artificial Intelligence in Cardiology, both in the adult and pediatric age groups, published in the Journal of Clinical Medicine [...].

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Conflict of interest statement

The author declares no conflict of interest.

References

    1. Koulaouzidis G., Jadczyk T., Iakovidis D.K., Koulaouzidis A., Bisnaire M., Charisopoulou D. Artificial Intelligence in Cardiology—A Narrative Review of Current Status. J. Clin. Med. 2022;11:3910. doi: 10.3390/jcm11133910. - DOI - PMC - PubMed
    1. Sethi Y., Patel N., Kaka N., Desai A., Kaiwan O., Sheth M., Sharma R., Huang H., Chopra H., Khandaker M.U., et al. Artificial Intelligence in Pediatric Cardiology: A Scoping Review. J. Clin. Med. 2022;11:7072. doi: 10.3390/jcm11237072. - DOI - PMC - PubMed
    1. Akkus Z., Aly Y., Attia I., Lopez-Jimenez F., Arruda-Olson A., Pellikka P., Pislaru S., Kane G., Friedman P., Oh J. Artificial Intelligence (AI)-Empowered Echocardiography Interpretation: A State-of-the-Art Review. J. Clin. Med. 2021;10:1391. doi: 10.3390/jcm10071391. - DOI - PMC - PubMed
    1. Zhang Z., Zhu Y., Liu M., Zhang Z., Zhao Y., Yang X., Xie M., Zhang L. Artificial Intelligence-Enhanced Echocardiography for Systolic Function Assessment. J. Clin. Med. 2022;11:2893. doi: 10.3390/jcm11102893. - DOI - PMC - PubMed
    1. Barbieri A., Albini A., Chiusolo S., Forzati N., Laus V., Maisano A., Muto F., Passiatore M., Stuani M., Triglia L.T., et al. Three-Dimensional Automated, Machine-Learning-Based Left Heart Chamber Metrics: Associations with Prevalent Vascular Risk Factors and Cardiovascular Diseases. J. Clin. Med. 2022;11:7363. doi: 10.3390/jcm11247363. - DOI - PMC - PubMed

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