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Artificial Intelligence in Cardiothoracic Imaging
This book provides an overview of current and potential applications of artificial intelligence (AI) for cardiothoracic imaging. Most AI systems used in medical imaging are data-driven and based on supervised machine learning. Clinicians and AI specialists can contribute to the development of an AI system in different ways, focusing on their respective strengths. Unfortunately, communication between these two sides is far from fluent and, from time to time, they speak completely different languages. Mutual understanding and collaboration are imperative because the medical system is based on physicians’ ability to take well-informed decisions and convey their reasoning to colleagues and pat...
What do we know about COVID-19 implications for cardiovascular disease?
he coronavirus epidemic is a major concern for each one of us, whether we figure among the regular citizens, those affected by the disease, or those involved in their treatment. Much has already been said, however, there is still a lack of profound understanding regarding specific situations, such as the interaction between the virus and the cardiovascular system. We have read that elderly people with coronary artery disease, diabetes or hypertension as well as those with a history of stroke may have a higher risk of being infected, seem to be more severely affected than other persons, and have a higher mortality rate. But other infections, flus and stress situations have previously been shown to also affect the risk and prognosis of patients with cardiovascular disease, through myocarditis, arrhythmias, acute coronary syndromes, acute heart failure or cardiogenic shock.
Machine Learning in Cardiovascular Medicine
Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers;...
EACVI Handbook of Cardiovascular CT
The handbook represents an important step towards dissemination of skills and knowledge in cardiovascular CT. It is a concise and practical companion, to benefit students, trainees or advanced users; cardiologists, radiologists, cardiac surgeons or technicians, in their everyday practice.
Fighting the COVID-19 Pandemic
During the past two years, the world has been fighting the COVID-19 pandemic, which has had many negative effects on people’s quality of life, physical health, and mental health. Nobody is oblivious to the general information related to the virus or the deleterious health effects it has been linked to, yet there is a lot more to it than the general knowledge. In this book, we shed light on the virus itself and its properties, epidemiology, immune response, various clinical scenarios and consequences, and diagnostic and management dilemmas. Finally, we discuss COVID vaccines and the related myths and misinformation that have led to vaccine hesitancy and mistrust.
Commedia fiorentina
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