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  • Book
    edited by Carlo N. De Cecco, Marly van Assen, Tim Leiner.
    Summary: 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.

    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
    Artificial Intelligence 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.
    Digital Access Springer 2022
  • Journal
    herausgegeben von der Königl. Botanischen Gesellschaft in Regensburg.
    Digital Access Full text via HathiTrust, 1. Jahrg. -155. Bd., 4. Heft.
  • Article
    Krause W.
    Z Arztl Fortbild (Jena). 1978 Sep 15;72(18):860-5.
    Digital Access Access Options