AI and Big Data in Cardiology: A Practical Guide

By Nicolas Duchateau, Andrew P. King
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 (AI), machine learning, and big data are rapidly changing the landscape of medicine. These powerful technologies are enabling doctors and researchers to analyze vast amounts of data to identify patterns and trends, helping to advance clinical decision-making and improve patient outcomes.

One area where AI and big data are particularly impactful is cardiology. In their new book, “Artificial Intelligence and Big Data in Cardiology,” authors Nicolas Duchateau and Andrew P. King provide a detailed technical overview of the use and applications of these technologies in the field of cardiology.

The book is a comprehensive resource for trainee and practicing cardiologists, informaticians, and other medical professionals seeking to gain a thorough understanding of the basic concepts and recent advances in AI, machine learning, and big data in cardiology. The authors have provided detailed technical reviews and highlighted key challenges and limitations associated with the use of these technologies, as well as the available techniques to address them.

One of the most valuable features of the book is the inclusion of sample data sets to provide hands-on tutorials for readers using Python-based Jupyter notebooks. The data sets are based on real-world examples, helping readers feel confident in applying these techniques to solve everyday clinical problems.

The book contains a wealth of valuable information, including chapters on topics such as predictive analytics, clinical decision support systems, and personalized medicine. It also examines the use of AI and big data in imaging, electrocardiography (ECG), and electronic health records (EHRs).

Overall, “Artificial Intelligence and Big Data in Cardiology” is an excellent resource for medical professionals seeking to stay up-to-date with the latest developments in the field. The authors have done an excellent job of presenting complex technical material in a clear and accessible way, offering a practical guide for applying these technologies to clinical practice.

This book is a must-read for anyone interested in the intersection of medicine and technology, and the potential for AI and big data to revolutionize the field of cardiology. Readers will come away with a thorough understanding of the latest applications of these technologies, as well as the challenges and opportunities associated with their use.

Order your copy of “Artificial Intelligence and Big Data in Cardiology” today and stay ahead of the curve in this rapidly evolving field. With its wealth of technical knowledge, practical tutorials, and real-world examples, this book is sure to be an invaluable resource for anyone seeking to leverage the power of AI, machine learning, and big data in their clinical practice.

Product Details

• ASIN ‏ : ‎ B0BS39X9DT
• Publisher ‏ : ‎ Springer (May 4, 2023)
• Publication date ‏ : ‎ May 4, 2023
• Language ‏ : ‎ English
• Screen Reader ‏ : ‎ Supported
• Sticky notes ‏ : ‎ On Kindle Scribe