Intelligence-Based Cardiology and Cardiac Surgery
eBook - ePub

Intelligence-Based Cardiology and Cardiac Surgery

Artificial Intelligence and Human Cognition in Cardiovascular Medicine

  1. 260 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Intelligence-Based Cardiology and Cardiac Surgery

Artificial Intelligence and Human Cognition in Cardiovascular Medicine

About this book

Intelligence-Based Cardiology and Cardiac Surgery: Artificial Intelligence and Human Cognition in Cardiovascular Medicine provides a comprehensive survey of artificial intelligence concepts and methodologies with real-life applications in cardiovascular medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and data science domains. The book's content consists of basic concepts of artificial intelligence and human cognition applications in cardiology and cardiac surgery. This portfolio ranges from big data, machine and deep learning, cognitive computing and natural language processing in cardiac disease states such as heart failure, hypertension and pediatric heart care. The book narrows the knowledge and expertise chasm between the data scientists, cardiologists and cardiac surgeons, inspiring clinicians to embrace artificial intelligence methodologies, educate data scientists about the medical ecosystem, and create a transformational paradigm for healthcare and medicine. - Covers a wide range of relevant topics from real-world data, large language models, and supervised machine learning to deep reinforcement and federated learning - Presents artificial intelligence concepts and their applications in many areas in an easy-to-understand format accessible to clinicians and data scientists - Discusses using artificial intelligence and related technologies with cardiology and cardiac surgery in a myriad of venues and situations - Delineates the necessary elements for successfully implementing artificial intelligence in cardiovascular medicine for improved patient outcomes - Presents the regulatory, ethical, legal, and financial issues embedded in artificial intelligence applications in cardiology

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Information

Publisher
Academic Press
Year
2023
Print ISBN
9780323905343
eBook ISBN
9780323906296
Topic
Biological Sciences
Subtopic
Cardiology
Index
Biological Sciences

Table of contents

  1. Cover
  2. Front Matter
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Contributors
  7. About the editors
  8. Foreword by Eric Topol
  9. Foreword by Ami Bhatt
  10. Preface
  11. Acknowledgments
  12. List of Illustrations
  13. List of Tables
  14. Chapter 1 : Introduction to artificial intelligence for cardiovascular clinicians
  15. Chapter 2 : Application of artificial intelligence in cardiovascular medicine and cardiac surgery
  16. Chapter 3 : Data and databases in cardiovascular medicine and surgery
  17. Chapter 4 : Data and databases for pediatric and adult congenital cardiac care
  18. Chapter 5 : Cognitive biases and heuristics in human cognition
  19. Chapter 6 : Spectrum bias in algorithms and artificial intelligence
  20. Chapter 7 : Medical visual question answering
  21. Chapter 8 : Artificial intelligence and the electrocardiogram
  22. Chapter 9 : Artificial intelligence in electrophysiology
  23. Chapter 10 : Artificial intelligence in echocardiography
  24. Chapter 11 : Artificial intelligence in cardiac CT
  25. Chapter 12 : Artificial intelligence in cardiac MRI
  26. Chapter 13 : Artificial intelligence in pediatric and congenital cardiac magnetic resonance imaging
  27. Chapter 14 : Artificial intelligence in three-dimensional and fetal echocardiography
  28. Chapter 15 : Artificial intelligence in nuclear cardiology
  29. Chapter 16 : Artificial intelligence and in situ exercise monitoring, modeling, and guidance
  30. Chapter 17 : Artificial intelligence in the catheterization laboratory
  31. Chapter 18 : Artificial intelligence in the cardiology clinic
  32. Chapter 19 : Artificial intelligence in cardiac surgery
  33. Chapter 20 : Congenital cardiac surgery and artificial intelligence
  34. Chapter 21 : Artificial intelligence in heart failure
  35. Chapter 22 : Big data in cardiovascular population health research
  36. Chapter 23 : Intelligence-based cardiovascular disease prevention
  37. Chapter 24 : Artificial intelligence in cardiovascular genetics
  38. Chapter 25 : Artificial intelligence in congenital heart disease
  39. Chapter 26 : Artificial intelligence and cardiovascular disease in women
  40. Chapter 27 : Artificial intelligence and COVID-19 in children with heart disease
  41. Chapter 28 : Artificial intelligence in cardiac critical care
  42. Chapter 29 : Artificial intelligence in cardio-oncology
  43. Chapter 30 : Artificial intelligence in adult congenital heart disease
  44. Chapter 31 : Artificial intelligence for quality improvement
  45. Chapter 32 : Clinical safety in cardiology and artificial intelligence
  46. Chapter 33 : Data sharing principles
  47. Chapter 34 : Natural language processing in cardiovascular medicine
  48. Chapter 35 : Artificial intelligence and wearable technology
  49. Chapter 36 : Digital twin in cardiovascular medicine and surgery
  50. Chapter 37 : Artificial intelligence and extended reality in cardiology
  51. Chapter 38 : Cybersecurity and blockchain in cardiology
  52. Chapter 39 : Starting an artificial intelligence program in cardiology
  53. Chapter 40 : Artificial intelligence for cardiac care: a view from the top
  54. Chapter 41 : Strategy of artificial intelligence in cardiology
  55. Chapter 42 : Education of artificial intelligence for cardiovascular clinicians
  56. Chapter 43 : Artificial intelligence in cardiology: the trainee perspective
  57. Chapter 44 : Artificial intelligence and agile project management
  58. Chapter 45 : Synthetic data in cardiovascular health research
  59. Chapter 46 : Ethical and legal issues in artificial intelligence-based cardiology
  60. Chapter 47 : Regulatory frameworks for artificial intelligence in cardiovascular medicine and surgery
  61. Chapter 48 : Regulatory issues of artificial intelligence in cardiology – international perspective
  62. Chapter 49 : Industry perspective of artificial intelligence in medicine and surgery
  63. Chapter 50 : Entrepreneurship lessons from artificial intelligence in cardiology
  64. Chapter 51 : Global cardiac network: an innovative artificial intelligence-enabled learning system
  65. Chapter 52 : The future of artificial intelligence in cardiology and cardiac surgery
  66. Appendix : Compendium
  67. Recommended resources
  68. Glossary
  69. Index
  70. A

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Yes, you can access Intelligence-Based Cardiology and Cardiac Surgery by Anthony C Chang,Alfonso Limon,Robert Brisk,Francisco Lopez- Jimenez,Louise Y Sun,Anthony C. Chang in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Cardiology. We have over 1.5 million books available in our catalogue for you to explore.