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.

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 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.

In this issue of Radiologic Clinics, guest editors Drs. Sandeep Hedgire and Prashant Nagpal bring their considerable expertise to the topic of Advances and Innovations in Cardiovascular Imaging. Top experts in the field provide a complete review of cardiovascular CT imaging, covering principles and practice, the heart, the aorta, upper and lower extremities, and visceral vessels, as well as the role of artificial intelligence in cardiac imaging. - Contains 15 relevant, practice-oriented topics including CT imaging of cardiac valves; pre- and post-transcatheter valve planning CT (TAVR, TMVR, TTVR, TPVR); the role of AI in cardiac imaging; CTA after transcatheter and surgical aortic interventions; coronary artery disease: the role of CT and recent advances; and more. - Provides in-depth clinical reviews on advances and innovations in cardiovascular imaging, offering actionable insights for clinical practice. - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

This case-based atlas encompasses all aspects of imaging in congenital cardiac defects, cardiac masses, inflammatory and acquired heart diseases, cardiomyopathies and coronary-related pathologies. The chapters begin with a description of the imaging approach, followed by cases comprehensively covering the gamut of clinical scenarios that may be encountered in clinical practice. The atlas provides pertinent information about each discussed disease state, its imaging diagnosis and recent advances, including role of radiology in management, follow up and prognostication. Cases that may pose as imaging differentials accompany the index case, followed by a variety of companion cases illustrating the possible spectrum of abnormalities that the reader may be confronted with while dealing with the index case. It acts as a guide for the cardiovascular radiologist, physician, paediatrician, internist, cardiologist, cardiothoracic surgeon as well as radiology residents for inculcating an evidence-based approach for choosing the right imaging algorithm in the given clinical situation. The highly visual design of the atlas enables it to act as a quick and ready reference.

The definitive resource for nuclear cardiologists and nuclear clinicians on the technical, physiological, diagnostic and prognostic considerations of cardiac diagnostic techniques performed with the aid of radiopharmaceuticals.

This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis in myriad fields including Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry and others. This will include topics such as Artificial Intelligence of Thing (AIOT), Explainable Artificial Intelligence (XAI), Distributed learning, Blockchain of Internet of Things (BIOT), Cybersecurity, and Internet of (Medical) Things (IoTs). Healthcare providers will learn how to leverage Big Data analytics and AI as methodology for accurate analysis based on their clinical data repositories and clinical decision support. The capacity to recognize patterns and transform large amounts of data into usable information for precision medicine assists healthcare professionals in achieving these objectives. Intelligent Health has the potential to monitor patients at risk with underlying conditions and track their progress during therapy. Some of the greatest challenges in using these technologies are based on legal and ethical concerns of using medical data and adequately representing and servicing disparate patient populations. One major potential benefit of this technology is to make health systems more sustainable and standardized. Privacy and data security, establishing protocols, appropriate governance, and improving technologies will be among the crucial priorities for Digital Transformation in Healthcare.