Can Machines Find the Sweet Spot in End-Stage Heart Failure?

Affiliations

Editorial

Robert J H Miller et al. JACC Adv. 2022.

. 2022 Oct 28;1(4):100122.

doi: 10.1016/j.jacadv.2022.100122. eCollection 2022 Oct.

¹ Department of Cardiac Sciences, University of Calgary and Libin Cardiovascular Institute, Calgary, Alberta, Canada.

No abstract available

Keywords: artificial intelligence; heart failure; implementation science; machine learning; risk prediction.

Conflict of interest statement

The authors have reported that they have no relationships relevant to the contents of this paper to disclose.

Augmented Intelligence to Identify Patients With Advanced Heart Failure in an Integrated Health System.
Cheema B, Mutharasan RK, Sharma A, Jacobs M, Powers K, Lehrer S, Wehbe FH, Ronald J, Pifer L, Rich JD, Ghafourian K, Tibrewala A, McCarthy P, Luo Y, Pham DT, Wilcox JE, Ahmad FS. Cheema B, et al. JACC Adv. 2022 Oct;1(4):100123. doi: 10.1016/j.jacadv.2022.100123. Epub 2022 Oct 1. JACC Adv. 2022. PMID: 36643021 Free PMC article.

1. Tromp J., Ouwerkerk W., van Veldhuisen Dirk J., et al. A systematic review and network meta-analysis of pharmacological treatment of heart failure with reduced ejection fraction. J Am Coll Cardiol HF. 2022;10:73–84. - PubMed
1. Miller R.J.H., Howlett J.G., Fine N.M. A novel approach to medical management of heart failure with reduced ejection fraction. Can J Cardiol. 2021;37:632–643. - PubMed
1. Dabiri Y., Mahadevan Vaikom S., Guccione Julius M., Kassab Ghassan S. A simulation study of the effects of number and location of MitraClips on mitral regurgitation. JACC Adv. 2022;1(1):100015.
1. Truby L.K., Rogers J.G. Advanced heart failure. J Am Coll Cardiol HF. 2020;8:523–536. - PubMed
1. Crespo-Leiro M.G., Metra M., Lund L.H., et al. Advanced heart failure: a position statement of the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail. 2018;20:1505–1535. - PubMed