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Author:   Carlo N. De Cecco ,  Marly van Assen ,  Tim Leiner
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Weight:   2.033kg
ISBN:  

9783030920869

ISBN 10:   3030920860
Pages:   595
Publication Date:   23 April 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

PART I: Artificial Intelligence: Technical Considerations and Fundamentals.- Artificial Intelligence: A Century-Old Story.- Demystifying Artificial Intelligence Technology in Cardiothoracic Imaging: The Essentials.- Artificial Intelligence Algorithm Development for Biomedical Imaging.- Data Preparation for Artificial Intelligence.- Data Storage, Cloud Usage and Artificial Intelligence Pipeline.- How to Build Artificial Intelligence Algorithms for Imaging Applications.- Radiomics: Technical Background.- Biobanks and Artificial Intelligence.- Biostatistics and Artificial Intelligence.- PART II: Artificial Intelligence: General Approaches and Applications.- Structured Reporting in Medical Imaging: the Role of Artificial Intelligence.- Artificial Intelligence: Clinical Relevance and Workflow.- Patient Selection and Scan Preparation Optimization: the Role of Artificial Intelligence.- Artificial Intelligence for Image Enhancement and Reconstruction in Magnetic Resonance Imaging.- ArtificialIntelligence Based Image Reconstruction in Cardiac Magnetic Resonance.- Artificial Intelligence Based Image Reconstruction in Computed Tomography Imaging.- Artificial Intelligence Based Contrast Medium Optimization.- Radiation Dose Optimization: the Role of Artificial Intelligence.- Artificial Intelligence Integration into the Computed Tomography System.- Artificial Intelligence Integration into the Magnetic Resonance System.- Magnetic Resonance Fingerprinting: the Role of Artificial Intelligence.- Currently Available Artificial Intelligence Software for Cardiothoracic Imaging.- PART III: Artificial Intelligence: Cardiac Applications.- Cardiac CT Guidelines and Clinical Applications: Where does Artificial Intelligence fit in?.- Natural Language Processing for Cardiovascular Applications.- Artificial Intelligence Based Evaluation of Coronary Calcium.- Artificial Intelligence Based Evaluation of Coronary Atherosclerotic Plaques.- Artificial Intelligence Based Coronary Artery Disease Reporting & Data System (CAD-RADS).- Artificial Intelligence Based CT Derived Fractional Flow Reserve (CT-FFR).- Artificial Intelligence Based Evaluation of Cardiac Valves.- Artificial Intelligence Based Diagnosis and Procedural Planning for Aortic Valve Disease.- Artificial Intelligence Based Quantification of Cardiac Fat.- Radiomics in Cardiac CT.- Cardiac MR Guidelines and Clinical Applications: Where does Artificial Intelligence fit in?.- Artificial Intelligence Based Evaluation of Functional Cardiac Magnetic Resonance Imaging.- Magnetic Resonance Imaging based 4D Cardiac Flow: the Role of Artificial Intelligence.- Magnetic Resonance Imaging based Coronary Flow: the Role of Artificial Intelligence.- Artificial Intelligence Based Evaluation of Cardiac Congenital Disease.- Cardiac Nuclear Medicine: the Role of Artificial Intelligence.- Cardiac Ultrasound Imaging: the Role of Artificial Intelligence.- Artificial Intelligence Based Cardiovascular Risk Stratification.- PART IV: Artificial Intelligence: Thoracic Applications.- Artificial Intelligence Based Evaluation of Patients with Chronic Obstructive Pulmonary Disease.- Artificial Intelligence Based Evaluation of Patients with Interstitial Lung Disease.- Artificial Intelligence Based Evaluation of Infectious Disease Imaging: A COVID-19 Perspective.- Artificial Intelligence for Lung Cancer Screening and Nodule Detection.- Artificial Intelligence for Lung Cancer Characterization and Prognosis.- Artificial Intelligence for Opportunistic Chest CT Screening and Prognostication.- Artificial Intelligence Based Detection of Pulmonary Vascular Disease.- Artificial Intelligence Based Evaluation of the Aorta.- Artificial Intelligence and Radiomics Based Evaluation of Carotid Artery Disease.- PART V: Artificial Intelligence: General Considerations.- Artificial Intelligence in Medicine: Laws, Regulations and Privacy.- Health Economics, Economic Evaluation and Artificial Intelligence Technology.- Commercialization & Intellectual Property of Artificial Intelligence Applications in Cardiovascular Imaging.- Ethical Considerations of Artificial Intelligence Applications in Healthcare.- How to Write and Review an Artificial Intelligence Paper.- Cybersecurity in the Era of Artificial Intelligence.- How Artificial Intelligence Will Reshape Healthcare and Medical Imaging:  A Global Perspective.

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Author Information

Carlo N. De Cecco, MD PhD is Associate Professor of Radiology and Biomedical Informatics, and Director of the Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence in the Department of Radiology and Imaging Sciences at Emory University Hospital in Atlanta, USA. He is editor of the Springer books MDCT and MRI of the Heart (2014) and Dual Energy CT in Oncology (2015). Marly van Assen, PhD is a Post-Doctoral Fellow in the Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence in the Department of Radiology and Imaging Sciences at Emory University Hospital in Atlanta, USA. Tim Leiner, MD PhD is Professor of Radiology at Utrecht University Medical Center in the Netherlands with a strong interest in development and clinical implementation of AI. 

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