AI and Big Data in Cardiology: A Practical Guide

DuChateau, Nicolas, King, Andrew P.

AI and Big Data in Cardiology: A Practical Guide
  • 出版商: Springer
  • 出版日期: 2024-05-06
  • 售價: $2,350
  • 貴賓價: 9.5 折 $2,233
  • 語言: 英文
  • 頁數: 216
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031050738
  • ISBN-13: 9783031050732
  • 相關分類: 人工智慧、大數據 Big-data

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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 cardiologist andinformatician 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.

商品描述(中文翻譯)

這本書詳細介紹了人工智慧（AI）、機器學習和大數據在心臟病學中的應用和應用技術。這些領域的最新技術進展意味著將這些方法應用於日常臨床實踐中可以獲得顯著的收益。各章節詳細介紹了技術評論，並突出了目前的主要挑戰和限制，以及每個主題所涵蓋的可用技術來解決這些挑戰。書中還包含了樣本數據集，以提供基於Python的Jupyter筆記本的實踐教程，並基於真實世界的例子，以確保讀者能夠自信地應用這些技術來解決日常臨床問題。

《人工智慧和大數據在心臟病學中的應用》系統地描述並技術性地評論了AI和大數據在心臟病學中的最新應用。這本書非常適合實習醫生、臨床心臟病學家和信息學家使用，他們希望在這一主題上獲得最新資源，以幫助他們全面了解基本概念和近期的進展。

作者簡介

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.

Dr. King is currently a Reader in Medical Image Analysis at the School of Biomedical Engineering and Imaging Sciences at King's College London. His research aims to develop novel machine learning methods for a range of medical applications, but with a special focus on cardiology. He works closely with clinicians to exploit the power of machine learning to solve clinically relevant problems. Notable recent successes include the prediction of treatment outcome for heart failure and automated quantification of cardiac function for patient risk stratification.

作者簡介(中文翻譯)

Dr. Duchateau目前是法國里昂的Université Lyon 1和CREATIS實驗室的副教授（Maître de Conférences），也是法國大學研究所（IUF）的初級成員。他的研究主要集中在開發新的統計和機器學習方法，以更好地理解醫學影像數據中疾病的發生和演變。在應用方面，他的工作特別關注心臟功能和2D/3D心肌形狀、運動和變形模式的研究。他的研究主要針對心力衰竭人群，通過超聲心動圖和磁共振成像數據進行研究。

Dr. King目前是倫敦國王學院生物醫學工程和影像科學學院的醫學影像分析讀者。他的研究旨在開發新的機器學習方法，應用於各種醫學應用領域，尤其是心臟病學。他與臨床醫生密切合作，利用機器學習的力量解決臨床相關問題。最近的重要成果包括預測心力衰竭的治療結果和自動量化心臟功能以進行患者風險分層。

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