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
. 2024 Feb 9;14(4):380.
doi: 10.3390/diagnostics14040380.

The Role of Artificial Intelligence and Machine Learning in the Prediction of Right Heart Failure after Left Ventricular Assist Device Implantation: A Comprehensive Review

Ozlem Balcioglu  1   2 , Cemre Ozgocmen  3 , Dilber Uzun Ozsahin  2   4 , Tahir Yagdi  5
Affiliations
Review

The Role of Artificial Intelligence and Machine Learning in the Prediction of Right Heart Failure after Left Ventricular Assist Device Implantation: A Comprehensive Review

Ozlem Balcioglu et al. Diagnostics (Basel). .

Abstract

One of the most challenging and prevalent side effects of LVAD implantation is that of right heart failure (RHF) that may develop afterwards. The purpose of this study is to review and highlight recent advances in the uses of AI in evaluating RHF after LVAD implantation. The available literature was scanned using certain key words (artificial intelligence, machine learning, left ventricular assist device, prediction of right heart failure after LVAD) was scanned within Pubmed, Web of Science, and Google Scholar databases. Conventional risk scoring systems were also summarized, with their pros and cons being included in the results section of this study in order to provide a useful contrast with AI-based models. There are certain interesting and innovative ML approaches towards RHF prediction among the studies reviewed as well as more straightforward approaches that identified certain important predictive clinical parameters. Despite their accomplishments, the resulting AUC scores were far from ideal for these methods to be considered fully sufficient. The reasons for this include the low number of studies, standardized data availability, and lack of prospective studies. Another topic briefly discussed in this study is that relating to the ethical and legal considerations of using AI-based systems in healthcare. In the end, we believe that it would be beneficial for clinicians to not ignore these developments despite the current research indicating more time is needed for AI-based prediction models to achieve a better performance.

Keywords: artificial intelligence; left ventricular assist device; machine learning; right heart failure; right ventricle failure.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
A flowchart visually explaining the machine learning process. Abbreviations: ML: machine learning.
See this image and copyright information in PMC

References

    1. Fang J., Mensah G.A., Croft J.B., Keenan N.L. Heart failure-related hospitalization in the U.S., 1979 to 2004. J. Am. Coll. Cardiol. 2008;52:428–434. doi: 10.1016/j.jacc.2008.03.061. - DOI - PubMed
    1. Francica A., Loforte A., Attisani M., Maiani M., Iacovoni A., Nisi T., Comisso M., Terzi A., De Bonis M., Vendramin I., et al. Five-Year Outcome After Continuous Flow LVAD With Full-Magnetic (HeartMate 3) Versus Hybrid Levitation System (HeartWare): A Propensity-Score Matched Study from an All-Comers Multicentre Registry. Transpl. Int. 2023;36:11675. doi: 10.3389/ti.2023.11675. Erratum in Transpl. Int. 2023, 36, 12088. - DOI - PMC - PubMed
    1. Grewal J., Tripathi N., Bortner B., Gregoski M.J., Cook D., Britt A., Hajj J., Rofael M., Sheidu M., Montovano M.J., et al. A multicenter evaluation of the HeartMate 3 risk score. J. Heart Lung Transplant. 2023. ahead of print . - DOI - PubMed
    1. Mehra M.R., Netuka I., Uriel N., Katz J.N., Pagani F.D., Jorde U.P., Gustafsson F., Connors J.M., Ivak P., Cowger J., et al. ARIES-HM3 Investigators. Aspirin and Hemocompatibility Events with a Left Ventricular Assist Device in Advanced Heart Failure: The ARIES-HM3 Randomized Clinical Trial. JAMA. 2023;330:2171–2181. doi: 10.1001/jama.2023.23204. - DOI - PMC - PubMed
    1. Kirschner M., Topkara V.K., Sun J., Kurlansky P., Kaku Y., Naka Y., Yuzefpolskaya M., Colombo P.C., Sayer G., Uriel N., et al. Comparing 3-Year Survival and Readmissions between HeartMate 3 and Heart Transplant as Primary Treatment for Advanced Heart Failure. J. Thorac. Cardiovasc. Surg. 2023. ahead of print . - DOI - PubMed

LinkOut - more resources