Artificial Intelligence in Cardiac Surgery and Heart Transplantation
A special issue of Journal of Cardiovascular Development and Disease (ISSN 2308-3425). This special issue belongs to the section "Acquired Cardiovascular Disease".
Deadline for manuscript submissions: 1 April 2026 | Viewed by 58
Special Issue Editors
Interests: heart and lung transplantation; ECMO; mitral valve disease; aortic valve disease; cardiac tumours; carcinoid heart disease
Special Issue Information
Dear Colleagues,
This Special Issue explores the transformative role of artificial intelligence (AI) in cardiac surgery and heart transplantation, highlighting cutting-edge applications that are reshaping clinical practice, research, and patient outcomes. As AI technologies evolve rapidly, their integration into cardiac care promises unprecedented advances in diagnostics, perioperative planning, surgical precision, and postoperative management.
Topics in this issue could include the use of machine learning algorithms for early detection of complications, prediction of surgical outcomes, and optimization of patient selection for heart transplantation. Contributions may also examine AI-assisted imaging, including automated segmentation of cardiac structures and intraoperative guidance systems that enhance surgical accuracy. The role of predictive analytics in organ allocation, graft survival forecasting, and rejection risk stratification could also be addressed, offering new insights into transplant logistics and long-term management.
Further focus is placed on robotic and computer-augmented surgery, where AI enhances procedural planning and execution, as well as on natural language processing (NLP) for mining electronic health records to inform clinical decision-making.
Ethical, regulatory, and implementation challenges surrounding AI deployment in high-stakes cardiac environments could be critically reviewed.
By bringing together contributions from surgeons, data scientists, and clinical researchers, this issue aims to bridge the gap between technological innovation and practical application. The collective insights presented offer a roadmap for integrating AI into the cardiac surgical and transplant landscape, advancing precision medicine and improving patient care across the continuum.
Prof. Dr. Stephen Clark
Guest Editor
Dr. Jason Moore
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- artificial intelligence
- cardiac surgery
- heart transplantation
- machine learning
- predictive analytics
- surgical robotics
- assisted medical imaging
- clinical decision support
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