This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Our first Research Topic entitled “Current and Future Role of Artificial Intelligence in Cardiac Imaging” provided comprehensive reviews of the recent advances and potential impact of AI for a range of cardiac imaging applications and remains available as an e-book to download at no cost. Since this first set of publications, the field has moved at pace and it is timely to now invite further up-to-date and topical reviews but importantly original research articles via our Research Topic “Current and Future Role of Artificial Intelligence in Cardiac Imaging 2.0”.

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 patients. This book offers unique insights and informative chapters on the use of AI for cardiothoracic imaging from both the technical and clinical perspective. It is also a single comprehensive source that provides a complete overview of the entire process of the development and use of AI in clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separate chapters will discuss the valorization, regulations surrounding AI, cost-effectiveness, and future perspective for different countries and continents. This book is an ideal guide for clinicians (radiologists, cardiologists etc.) interested in working with AI, whether in a research setting developing new AI applications or in a clinical setting using AI algorithms in clinical practice. The book also provides clinical insights and overviews for AI specialists who want to develop clinically relevant AI applications.

Big Data Analysis and Artificial Intelligence for Medical Sciences Overview of the current state of the art on the use of artificial intelligence in medicine and biology Big Data Analysis and Artificial Intelligence for Medical Sciences demonstrates the efforts made in the fields of Computational Biology and medical sciences to design and implement robust, accurate, and efficient computer algorithms for modeling the behavior of complex biological systems much faster than using traditional modeling approaches based solely on theory. With chapters written by international experts in the field of medical and biological research, Big Data Analysis and Artificial Intelligence for Medical Sciences includes information on: Studies conducted by the authors which are the result of years of interdisciplinary collaborations with clinicians, computer scientists, mathematicians, and engineers Differences between traditional computational approaches to data processing (those of mathematical biology) versus the experiment-data-theory-model-validation cycle Existing approaches to the use of big data in the healthcare industry, such as through IBM’s Watson Oncology, Microsoft’s Hanover, and Google’s DeepMind Difficulties in the field that have arisen as a result of technological changes, and potential future directions these changes may take A timely and up-to-date resource on the integration of artificial intelligence in medicine and biology, Big Data Analysis and Artificial Intelligence for Medical Sciences is of great benefit not only to professional scholars, but also MSc or PhD program students eager to explore advancement in the field.

We are delighted to present the inaugural Frontiers in Cardiovascular Medicine “Rising Stars” article collection. This collection showcases the high-quality work of internationally recognized researchers in the early stages of their independent careers. All Rising Star researchers were individually nominated by the Chief Editors of the Journal in recognition of their potential to influence the future directions in their respective fields. The work presented here highlights the diversity of research performed across the entire breadth of cardiovascular medicine, including the elucidation of fundamental biology, the development of novel diagnostics or therapeutics, computational modelling approaches, and bioengineering strategies for regeneration.

Recent years have seen numerous advances in cardiovascular nuclear medicine technology, leading to more precise diagnoses and treatment and an expanded understanding of the molecular basis for cardiac disease. Nuclear Cardiology and Multimodal Cardiovascular Imaging is a one-stop, comprehensive guide to the diagnostic and clinical implications of this complex and increasingly important technology. Part of the Braunwald family of renowned cardiology references, it provides cutting-edge coverage of multimodal cardiac imaging along with case vignettes and integrated teaching content—ideal for cardiologists, cardiology fellows, radiologists, and nuclear medicine physicians. - Features all the latest cardiovascular nuclear medicine studies with practical, evidence-based implications for personalized patient evaluation and treatment. - Presents a consistent, patient-centered approach using integrated case vignettes correlated with specific nuclear medicine imaging findings. Discusses patient assessment criteria, risk factor criteria, pathology, evaluation criteria, outcomes, and other clinical implications. - Covers a full range of imaging technologies, including SPECT/CT, PET/CT, and CT/MR hybrid radionuclide cardiovascular imaging studies. - Addresses emerging clinical applications of nuclear imaging techniques for precision-based medicine, including targeted molecular imaging and cell therapies. - Includes sections on instrumentation/principles of imaging; protocols and interpretation; applications in coronary artery disease, special populations, and heart failure; artificial intelligence, and more. - Contains guidelines and appropriate use documents to provide appropriate context for clinicians. - Features hundreds of high-quality figures including multimodal cardiac imaging studies, anatomic illustrations, and graphs. - Provides Key Point summaries, 50 procedural videos, and 100 multiple-choice questions and answers to reinforce understanding and facilitate review. - Enhanced eBook version included with purchase, which allows you to access all of the text, figures, and references from the book on a variety of devices