Novel Artificial Intelligence Applications in Heart Transplantation.

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.