Artificial Intelligence in Cardiothoracic Imaging | Libreria Medica Studium

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Artificial Intelligence in Cardiothoracic Imaging

Editore

Springer

Anno

2022

Pagine

595

ISBN

9783030920869

I prezzi indicati possono subire variazioni poiché soggetti all'oscillazione dei cambi delle valute e/o agli aggiornamenti effettuati dagli Editori.

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.

Front Matter

Pages i-xxiv
Artificial Intelligence: Technical Considerations and Fundamentals
1. Front Matter
  
  Pages 1-1
2. Artificial Intelligence: A Century-Old Story
  - Marly van Assen, Emanuele Muscogiuri, Giovanni Tessarin, Carlo N. De Cecco
  Pages 3-13
3. Demystifying Artificial Intelligence Technology in Cardiothoracic Imaging: The Essentials
  - Jelmer M. Wolterink, Anirban Mukhopadhyay
  Pages 15-25
4. Artificial Intelligence Algorithm Development for Biomedical Imaging
  - Peter M. A. van Ooijen, Leonardus B. van den Oever
  Pages 27-35
5. Data Preparation for Artificial Intelligence
  - Aline L. de Araujo, Cailin Hardell, Wojciech A. Koszek, Jie Wu, Martin J. Willemink
  Pages 37-43
6. Data Storage, Cloud Usage and Artificial Intelligence Pipeline
  - Peter M. A. van Ooijen, Erfan Darzi, Andre Dekker
  Pages 45-55
7. How to Build Artificial Intelligence Algorithms for Imaging Applications
  - Lewis Hahn, Evan Masutani, Kyle Hasenstab
  Pages 57-69
8. Radiomics: Technical Background
  - Bettina Baessler
  Pages 71-80
9. Biobanks and Artificial Intelligence
  - Musa Abdulkareem, Nay Aung, Steffen E. Petersen
  Pages 81-93
10. Biostatistics and Artificial Intelligence
  - Lance A. Waller
  Pages 95-101
Artificial Intelligence: General Approaches and Applications
1. Front Matter
  
  Pages 103-103
  
  Structured Reporting in Medical Imaging: The Role of Artificial Intelligence
2. - Peter D. Filev, Arthur E. Stillman
  Pages 105-112
3. Artificial Intelligence: Clinical Relevance and Workflow
  - William Moore, Jane Ko
  Pages 113-119
4. Patient Selection and Scan Preparation Optimization: The Role of Artificial Intelligence
  - Matthias Eberhard, Bettina Baessler, Hatem Alkadhi
  Pages 121-123
5. Artificial Intelligence for Image Enhancement and Reconstruction in Magnetic Resonance Imaging
  - Kerstin Hammernik, Mehmet Akçakaya
  Pages 125-138
6. Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance
  - Chen Qin, Daniel Rueckert
  Pages 139-147
7. Artificial Intelligence-Based Image Enhancement and Reconstruction in Computed Tomography Imaging
  - Thomas Wesley Holmes, Amir Pourmorteza
  Pages 149-166
8. Artificial Intelligence-Based Contrast Medium Optimization
  - Bibi Martens, Babs M. F. Hendriks, Joachim E. Wildberger, Casper Mihl
  Pages 167-172
9. Radiation Dose Optimization: The Role of Artificial Intelligence
  - Damiano Caruso, Domenico De Santis, Tiziano Polidori, Marta Zerunian, Andrea Laghi
  Pages 173-180
10. Artificial Intelligence: General Approaches and Applications
  1. Artificial Intelligence Integration into the Computed Tomography System
    - Michael Sühling, Stefan Großkopf, Ralf Gutjahr, Max Schöbinger, Chris Schwemmer, Andreas Wimmer et al.
    Pages 181-193
  2. Artificial Intelligence Integration into the Magnetic Resonance System
    - Giuseppe Muscogiuri, Pablo Garcia-Polo, Marco Guglielmo, Andrea Baggiano, Martin A. Janich, Gianluca Pontone
    Pages 195-200
  3. Magnetic Resonance Fingerprinting: The Role of Artificial Intelligence
    - Alexander Fyrdahl, Nicole Seiberlich, Jesse I. Hamilton
    Pages 201-215
  4. Currently Available Artificial Intelligence Softwares for Cardiothoracic Imaging
    - Yasasvi Tadavarthi, Judy Wawira Gichoya, Nabile Safdar, Imon Banerjee, Hari Trivedi
    Pages 217-224
11. Artificial Intelligence: Cardiac Applications
  1. Front Matter
    
    Pages 225-225
  2. Cardiac CT Guidelines and Clinical Applications: Where Does Artificial Intelligence Fit In?
    - Livia Marchitelli, Federica Catapano, Giulia Cundari, Marco Francone
    Pages 227-230
  3. Natural Language Processing for Cardiovascular Applications
    - Amara Tariq, Thiago Santos, Imon Banerjee
    Pages 231-243
  4. Artificial Intelligence-Based Evaluation of Coronary Calcium
    - Sanne G. M. van Velzen, Nils Hampe, Bob D. de Vos, Ivana Išgum
    Pages 245-257
  5. Artificial Intelligence-Based Evaluation of Coronary Atherosclerotic Plaques
    - Andrew Lin, Piotr J. Slomka, Damini Dey
    Pages 259-265
  6. Artificial Intelligence-Based Coronary Artery Disease Reporting and Data System (CAD-RADS)
    - Giuseppe Muscogiuri, Mattia Chiesa, Claudio Cau, Riccardo Cau, Marco Guglielmo, Andrea Baggiano et al.
    Pages 267-272
  7. Artificial Intelligence-Based CT-Derived Fractional Flow Reserve (CT-FFR)
    - Verena Brandt, Hunter N. Gray, Christian Tesche
    Pages 273-280
  8. Artificial Intelligence-Based Evaluation of Cardiac Valves
    - Gudrun M. Feuchtner, Vitalijs Zujs, Nikolaos Bonaros, Fabian Plank
    Pages 281-289
  9. Artificial Intelligence-Based Diagnosis and Procedural Planning for Aortic Valve Disease
    - Praveen Indraratna, Jonathon Leipsic
    Pages 291-296
  10. Artificial Intelligence-Based Quantification of Cardiac Fat
    - Caterina B. Monti, Davide Capra, Francesco Secchi, Marina Codari, Francesco Sardanelli
    Pages 297-303
  11. Radiomics in Cardiac CT
    - Márton Kolossváry, Pál Maurovich-Horvat
    Pages 305-311
  12. Cardiac MR Guidelines and Clinical Applications: Where Does Artificial Intelligence Fit In?
    - Davide Vignale, Anna Palmisano, Antonio Esposito
    Pages 313-320
  13. Artificial Intelligence-Based Evaluation of Functional Cardiac Magnetic Resonance Imaging
    - Qian Tao, Rob J. van der Geest
    Pages 321-331
  14. Magnetic Resonance Imaging-Based 4D Flow: The Role of Artificial Intelligence
    - Eva S. Peper, Sebastian Kozerke, Pim van Ooij
    Pages 333-348
  15. Magnetic Resonance Imaging-Based Coronary Flow: The Role of Artificial Intelligence
    - Tiziano Passerini, Yitong Yang, Teodora Chitiboi, John N. Oshinski
    Pages 349-363
  16. Artificial Intelligence-Based Evaluation of Congenital Heart Disease
    - Jennifer A. Steeden, Vivek Muthurangu, Aurelio Secinaro
    Pages 365-376
  17. Artificial Intelligence: Cardiac Applications
    1. Cardiac Nuclear Medicine: The Role of Artificial Intelligence
      - Marina Piccinelli, Ernest V. Garcia
      Pages 377-391
    2. Cardiac Ultrasound Imaging: The Role of Artificial Intelligence
      - Karthik Seetharam, Partho P. Sengupta
      Pages 393-401
    3. Artificial Intelligence-Based Cardiovascular Risk Stratification
      - Abdallah Malkawi, Zaid Almarzooq, Mouaz H. Al-Mallah, Subhi J. Al’Aref
      Pages 403-419
  18. Artificial Intelligence: Thoracic Applications
    1. Front Matter
      
      Pages 421-421
      
      PDF
    2. Artificial Intelligence-Based Evaluation of Patients with Chronic Obstructive Pulmonary Disease (COPD)
      - Josua A. Decker, Tilman Emrich, U. Joseph Schoepf, Dhiraj Baruah, Jeremy R. Burt, Akos Varga-Szemes
      Pages 423-431
    3. Artificial Intelligence-Based Evaluation of Patients with Interstitial Lung Disease
      - Mario Silva, Gianluca Milanese, Roberta Eufrasia Ledda, Michele Maddalo, Nicola Sverzellati
      Pages 433-446
    4. Artificial Intelligence-Based Evaluation of Infectious Disease Imaging: A COVID-19 Perspective
      - Li Fan, Jun Shi, Nannan Shi, Wenting Tu, Yun Bian, Xiuxiu Zhou et al.
      Pages 447-457
    5. Lung Cancer Screening and Nodule Detection: The Role of Artificial Intelligence
      - Sunyi Zheng, Peter M. A. van Ooijen, Matthijs Oudkerk
      Pages 459-469
    6. Lung Cancer Characterization and Prognosis: The Role of Artificial Intelligence
      - Carolyn Horst, Robert O’Shea, Vicky Goh
      Pages 471-481
    7. Artificial Intelligence for Opportunistic Chest CT Screening and Prognostication
      - Nikos Sourlos, Peter M. A. van Ooijen, Rozemarijn Vliegenthart
      Pages 483-490
    8. Artificial Intelligence-Based Detection of Pulmonary Vascular Disease
      - Martine Remy-Jardin, Jacques Remy
      Pages 491-500
    9. Artificial Intelligence-Based Evaluation of the Aorta
      - Domenico Mastrodicasa, Marina Codari, Valery L. Turner, Virginia Hinostroza, Kathrin Bäumler, Martin J. Willemink et al.
      Pages 501-511
    10. Artificial Intelligence- and Radiomics-Based Evaluation of Carotid Artery Disease
      - Michele Porcu, Riccardo Cau, Jasjit S. Suri, Luca Saba
      Pages 513-523
  19. Artificial Intelligence: General Considerations
    1. Front Matter
      
      Pages 525-525
      
      PDF
    2. Artificial Intelligence in Medicine: Laws, Regulations, and Privacy
      - Enzo Maria Le Fevre, Giselle Heleg
      Pages 527-534
    3. Health Economics, Economic Evaluation and Artificial Intelligence Technology
      - Ijeoma Uchegbu, Yael Rodriguez-Guadarrama, Tiago Rua, Muralikrishnan R. Kartha, Musa Abdulkareem, Steffen E. Petersen
      Pages 535-547
    4. Commercialization and Intellectual Property of Artificial Intelligence Applications in Cardiovascular Imaging
      - Jaap de Bruin, Nynke Breimer, Holger Veenhuis
      Pages 549-560
    5. Ethical Considerations of Artificial Intelligence Applications in Healthcare
      - Judy Wawira Gichoya, Carolyn Meltzer, Janice Newsome, Ramon Correa, Hari Trivedi, Imon Banerjee et al.
      Pages 561-565
    6. How to Write and Review an Artificial Intelligence Paper
      - Thomas Weikert, Tim Leiner
      Pages 567-574
    7. Cybersecurity in the Era of Artificial Intelligence
      - Anton S. Becker
      Pages 575-578
    8. Artificial Intelligence: General Considerations
      1. How Artificial Intelligence will Reshape the Field of Cardiothoracic Imaging: A Global Perspective
        
        Carlo N. De Cecco, Jie Zhang, Marly van Assen, Jack Wessell, Tim Leiner, Bin Lu
        
        Pages 579-586
    9. Back Matter
      
      Pages 587-595

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