AI and Big Data in Cardiology: A Practical Guide - Tapa blanda

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Dr. Duchateau is currently Associate Professor (Maître de Conférences) at the Université Lyon 1 and the CREATIS lab in Lyon, France, and Junior Member of the Institut Universitaire de France (IUF). His research is on the development of new statistical and machine learning approaches for the better understanding of disease apparition and evolution from medical imaging data. On the applicative side, his work has special dedication to the study of cardiac function and 2D/3D myocardial shape, motion and deformation patterns. It has a strong focus on heart failure populations, looked through echocardiographic and magnetic resonance imaging data.

De la contraportada

This book provides a detailed technical overview of the use and applications of artificial intelligence (AI), machine learning and big data in cardiology. Recent technological advancements in these fields mean that there is significant gain to be had in applying these methodologies into day-to-day clinical practice. Chapters feature detailed technical reviews and highlight key current challenges and limitations, along with the available techniques to address them for each topic covered. Sample data sets are also included to provide hands-on tutorials for readers using Python-based Jupyter notebooks, and are based upon real-world examples to ensure the reader can develop their confidence in applying these techniques to solve everyday clinical problems.

Artificial Intelligence and Big Data in Cardiology systematically describes and technically reviews the latest applications of AI and big data within cardiology. It is ideal for use by the trainee and practicing cardiologistand informatician seeking an up-to-date resource on the topic with which to aid them in developing a thorough understanding of both basic concepts and recent advances in the field.