Intelligence-Based Cardiology: Artificial Intelligence and Human Cognition in Clinical Cardiology and Cardiac Surgery
Language: English
Published by Elsevier Science, 2023
- Hardcover
- New
Condition: New
£ 134.41
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Covers a wide range of relevant topics from real-world data, large language models, and supervised machine learning to deep reinforcement and federated learningPresents artificial intelligence concepts and their applications in many areas i.
Seller Inventory # 571461046
- Title
- Intelligence-Based Cardiology: Artificial Intelligence and Human Cognition in Clinical Cardiology and Cardiac Surgery
- Publisher
- Elsevier Science
- Publication year
- 2023
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 032390534X
- ISBN 13
- 9780323905343
The content consists of basic concepts and applications of artificial intelligence and human cognition in cardiology and cardiac surgery. This portfolio ranges from big data to machine and deep learning, as well as cognitive computing and natural language processing in cardiac disease states such as heart failure, hypertension, and pediatric cardiac care. Artificial intelligence tools are described from the intensive care unit setting to other venues, such as the outpatient clinic, catheterization laboratory, and operating room. Future applications in related areas, such as large language models, extended reality, and digital twins, are also discussed. The book encompasses more than 50 chapters written by cardiologists or cardiac surgeons. Each chapter provides sections on the current state of the art and future directions and concludes with major takeaways. A robust compendium of practical resources, such as a comprehensive glossary, best references, and other resources, is also included.
The book narrows the knowledge and expertise chasm between data scientists, cardiologists, and cardiac surgeons, inspires these clinicians to embrace artificial intelligence methodologies, and educates data scientists about the cardiac ecosystem to create a transformational paradigm for cardiovascular healthcare that improves patient outcomes.
- 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
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Alfonso Limon is the Senior Data Scientist at Mi4 within Rady Children’s Health, specializing in AI and healthcare innovation. Previously served as a Principal at Oneirix Labs, a consulting firm specializing in computational intelligence for medical technology. Dr. Limon was Research Director at Intersection Medical (I-Med), where he developed decision-support algorithms for congestive heart failure, and previously managed the research team at Impedance Cardiology Systems. He serves as associate editor for Intelligence-Based Medicine, is a founding member of the American Board of AI in Medicine.
Dr. Lopez-Jimenez is a Professor of Medicine at Mayo Clinic College of Medicine, the Chair of the Division of Preventive Cardiology at Mayo Clinic and Co-Director of Artificial Intelligence in Cardiology in the Department of Cardiovascular Medicine. He is the Editor-In-Chief of Mayo Clinic Proceedings: Digital Health and the Co-Chair for the Advanced Healthcare Analytics workgroup, American College of Cardiology. Dr. Lopez-Jimenez did his cardiology fellowship at Mount Sinai Medical Center in Miami, Florida and at Brigham and Women’s Hospital, Harvard Medical School. He holds a Master of Science degree from Harvard School of Public Health and a MBA degree from Augsburg University. Dr. Lopez-Jimenez has published more than 365 scientific publications and his scientific work has been cited more than 17,000 times.
Dr. Sun is Professor and Chief of Cardiothoracic Anesthesiology at Stanford. Her areas of clinical focus are hemodynamic monitoring and heart failure. Her methodologic areas of focus are the conduct of population-based cohort studies, predictive analytics, sex and gender epidemiology, patient engagement, data warehousing, and applications development. Her patient-centered research program leverages big data and digital technology to bridge key gaps in the delivery of care and outcomes for patients with heart failure and those undergoing cardiovascular interventions, through personalized risk stratification and characterizing long-term, patient-defined outcomes. She specializes in rapidly developing and deploying data-driven solutions to enhance clinical operations and patient care, and collaborates with policy makers to evaluate models of cardiac healthcare delivery. Dr. Sun sits on a number of editorial boards and scientific review committees internationally. She has authored over 100 peer-reviewed publications, many in leading journals including JAMA, JAMA Cardiology, JAMA Internal Medicine, Circulation, JACC, and Diabetes Care.
"About the title" may belong to another edition of this title.
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