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Updated: May 5, 2026

Implantation of the Syncardia Total Artificial Heart

Implantation of the Syncardia Total Artificial Heart

Published on: July 18, 2014

Novel Artificial Intelligence Applications in Heart Transplantation.

Ilan Richter¹, Jayant Raikhelkar², Kevin Clerkin³

¹Division of Cardiology, Columbia University Irving Medical Center, New York, New York, USA. Electronic address: https://twitter.com/ilanrichter.

The Canadian Journal of Cardiology

|November 19, 2025

Summary

Artificial intelligence (AI) is revolutionizing heart transplantation by improving patient identification, outcomes, and surveillance. Future AI applications will further optimize organ allocation and donor-recipient matching for better results.

Keywords:

artificial inteligence deep learning heart transplant machine learning

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Area of Science:

Cardiology
Medical Informatics
Artificial Intelligence

Background:

Artificial intelligence (AI) offers transformative potential in medicine.
Heart transplantation paradigms, including patient identification and outcomes, can be enhanced by machine learning models.

Purpose of the Study:

To survey current and future applications of AI in heart transplantation.
To identify key focus areas for clinicians and researchers in AI-driven heart transplantation.

Main Methods:

Review of existing literature on AI in heart transplantation.
Analysis of retrospective studies and emerging evidence.

Main Results:

AI applications are being explored for patient identification, outcomes optimization, and post-transplant surveillance.
Emerging research addresses organ allocation, donor-recipient matching, primary graft dysfunction prediction, and survival rates.

Conclusions:

AI presents significant opportunities to advance heart transplantation practices.
Further research and clinical focus are needed to fully leverage AI for improved heart transplant outcomes.