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This work is intended to be a guide for cardiologists unfamiliar with artificial intelligence, as well as for engineers and data scientists unfamiliar with cardiology. To the best of our knowledge, there is currently a lack of similar work presenting the current state of the art on the use of artificial intelligence-based models in cardiology. Similarly, there is a paucity of texts that thoroughly discuss the pros and cons of using this cutting-edge technology in the field of cardiology, both in routine clinical practice and in the context of research.
This volume will be of interest to all those interested in the application of artificial intelligence in the medical field, and specifically in cardiology.
List of contents
Introduction and Basics of Artificial Intelligence in Medicine and Cardiology.- Improving Cardiovascular Diagnosis in Computed Tomography Imaging with the Use of Artificial Intelligence Angio-CT: how to improve the detection of critical coronary stenosis: A rapid recognition of Pulmonary Embolism: a reliable diagnosis?.- How to Make Magnetic Resonance Imaging Faster, Easier and More Precise with Artificial Intelligence.- Use of Artificial Intelligence in Echocardiography.- Electrocardiography: How Artificial Intelligence Can Make A Diagnosis.- Artificial Intelligence in Interventional Cardiology.- The Future of Electrophysiology: Integrating Artificial Intelligence.- Optimizing Patient Care with Artificial Intelligence: Advanced Applications in Cardiac Intensive Care.- Artificial Intelligence for Risk Stratification and Mortality Prediction.- Empowering Heart Failure Management through Artificial Intelligence.- Syncope Diagnosis and Management with the Help of Artificial Intelligence.- Can Artificial Intelligence Enhance Telemedicine: A New Frontier.- Improving Treatment Strategies Using Artificial Intelligence.- Artificial Intelligence in Cardiology: Ethical, Regulatory Considerations and Conclusions.
About the author
Patrizia Presbitero is a consultant of Interventional Cardiology at the Humanitas Research Hospital of Rozzano –Milano, Italy. After training at the National Heart hospital , Sick Children Hospital and Brompton Hospital in London and in the Catheterization Laboratory in Nieuwegein –Utrecht, she became Responsible of the Catheterisation Laboratory of the University of Torino and then Director of Interventional Cardiology of Humanitas Research Hospital . In her clinical practice, she employs the most advanced devices and technologies made available to interventional cardiologists. Her research interests focus on congenital , valvular heart diseases and on heart disease in women and during pregnancy .On this subject she wrote 2 books, “The heart of women” and "Percutaneous Treatment of Cardiovascular Diseases in Women". She is also author of more than 300 articles in top peer reviewed journal in the cardiovascular field.
Mauro Chiarito is a cardiologist working at the Interventional Cardiology at the Humanitas Research Hospital of Rozzano –Milano, Italy. He authored more than 100 articles in top peer reviewed journals in the cardiovascular field,
especially on antithrombotic strategies, percutaneous cardiac interventions (structural or coronary) and heart failure.
Alessandro Giaj Levra is a cardiology fellow, showcasing a distinguished record with published contributions in peer-reviewed journals and books at the intersection of cardiology and artificial intelligence.
Summary
This work is intended to be a guide for cardiologists unfamiliar with artificial intelligence, as well as for engineers and data scientists unfamiliar with cardiology. To the best of our knowledge, there is currently a lack of similar work presenting the current state of the art on the use of artificial intelligence-based models in cardiology. Similarly, there is a paucity of texts that thoroughly discuss the pros and cons of using this cutting-edge technology in the field of cardiology, both in routine clinical practice and in the context of research.
This volume will be of interest to all those interested in the application of artificial intelligence in the medical field, and specifically in cardiology.
