Innovations in Cardio-Oncology: Artificial Intelligence, Digital Health, and Precision Medicine reviews the benefits of biomedical technologies and advancements in individualized medicine, with applications in cardio-oncology.
Illustrations of work involving machine learning and natural language processing help readers understand and maximize the benefits of artificial intelligence (AI) algorithms, with integration of AI and digital health technologies into the clinical workflow for personalized patient care, research, and provider and patient education.
In 31 chapters, Innovations in Cardio-Oncology: Artificial Intelligence, Digital Health, and Precision Medicine introduces the emergent medical field at the interface of cardiology and oncology, “cardio-oncology”, and describes prevention, screening and surveillance, followed by several chapters on the role of the applications of digital health, telemedicine, and AI in cardio-oncology precision care. The book also highlights many medical society guidelines and evidence-based recommended pathways for equitable digital health deployment and utilization in cardio-oncology care. This book anticipates that AI algorithms and innovative health tools have the potential to address, and does not have to widen, the already existing healthcare disparities, including inequalities related to race, ethnicity, gender, socioeconomic level, health insurance status, linguistic and cultural barriers, systemic discrimination, and healthcare access.
This book provides valuable practical guidance for healthcare professionals, scientists, learners, and patients to integrate digital health platforms into their clinical practice, research, and patient engagement models, fit for individual use and also for multi-stakeholder groups from academia, technology, and industry, with shared interests in applying Innovation (Digital Health, mHealth, Telemedicine, Telehealth, Informatics, Precision Health, Computational Medicine, Social Media, Artificial Intelligence including Machine Learning, Deep Learning, Natural Language Processing, and Neural Networks, & more) to Cardiology and Oncology clinical practice, research, and education.
• Addresses cardiovascular complications from cancer treatment with greater precision and individualization due to advances in personalized medicine, AI, including machine learning.
• Presents successful methods and tools for preventing and managing cardiovascular disease in cancer patients.
• Provides solidified practical best practices relating to innovation technologies and precision in Cardio-Oncology.
• Includes insights and reports on various collaborative projects from the Cardiology Oncology Innovation Network (COIN) network members and colleagues, among a variety of other innovators, including applications of AI and informatics in Cardiology, Oncology, and especially Cardio-Oncology.
1. Chapter 1. Introduction to cardio-oncology - p. 1 2. Chapter 2. Innovation tools and technologies in cardio-oncology - p. 15 3. Chapter 3. The place of cardio-oncology in oncology - p. 31 4. Chapter 4. Prevention, screening, and surveillance in cardio-oncology - p. 69 5. Chapter 5. Innovations in pediatric cardio-oncology - p. 97 6. Chapter 6. Cardio-oncology in the digital era - p. 125 7. Chapter 7. Principles of telehealth and telemedicine in cardio-oncology - p. 141 8. Chapter 8. Advent of mHealth applications in cardio-oncology - p. 159 9. Chapter 9. Artificial intelligence in cardio-oncology: Machine learning, deep learning, and natural language processing - p. 181 10. Chapter 10. AI/ECG in cardio-oncology - p. 193 11. Chapter 11. AI-imaging in cardio-oncology - p. 209 12. Chapter 12. Artificial intelligence in echocardiography - p. 231 13. Chapter 13. Artificial intelligence at the point-of-care in cardio-oncology - p. 249 14. Chapter 14. Precision health and medicine in cardio-oncology - p. 269 15. Chapter 15. Integrated multiomics & systems medicine approach in precision cardio-oncology - p. 297 16. Chapter 16. Network medicine in precision cardio-oncology - p. 327 17. Chapter 17. Computational medicine and patient avatars in cardio-oncology - p. 339 18. Chapter 18. The role of informatics in cardio-oncology - p. 355 19. Chapter 19. Management of big data in cardio-oncology - p. 379 20. Chapter 20. Innovations in cardio-oncology research - p. 405 21. Chapter 21. Innovations in cardio-oncology community engagement - p. 437 22. Chapter 22. Innovative partnerships in academia, technology, and industry in cardio-oncology - p. 463 23. Chapter 23. Medical society synergies in cardio-oncology - p. 483 24. Chapter 24. Medical society guidelines in cardio-oncology - p. 495 25. Chapter 25. Policy and advocacy in cardio-oncology - p. 525 26. Chapter 26. Innovative creative expression in cardio-oncology - p. 543 27. Chapter 27. Innovation in cardio-oncology patient and provider education - p. 561 28. Chapter 28. Patient engagement in cardio-oncology - p. 581 29. Chapter 29. Health equity in cardio-oncology - p. 607 30. Chapter 30. Digital transformation in cardio-oncology - p. 623 31. Chapter 31. Culminating story of the future of cardio-oncology - p. 649 32. Afterword - p. 667 33. Index - p. 679
Innovations in Cardio-Oncology: Artificial Intelligence, Digital Health, and Precision Medicine reviews the benefits of biomedical technologies and advancements in individualized medicine, with applications in cardio-oncology.
Illustrations of work involving machine learning and natural language processing help readers understand and maximize the benefits of artificial intelligence (AI) algorithms, with integration of AI and digital health technologies into the clinical workflow for personalized patient care, research, and provider and patient education.
In 31 chapters, Innovations in Cardio-Oncology: Artificial Intelligence, Digital Health, and Precision Medicine introduces the emergent medical field at the interface of cardiology and oncology, “cardio-oncology”, and describes prevention, screening and surveillance, followed by several chapters on the role of the applications of digital health, telemedicine, and AI in cardio-oncology precision care. The book also highlights many medical society guidelines and evidence-based recommended pathways for equitable digital health deployment and utilization in cardio-oncology care. This book anticipates that AI algorithms and innovative health tools have the potential to address, and does not have to widen, the already existing healthcare disparities, including inequalities related to race, ethnicity, gender, socioeconomic level, health insurance status, linguistic and cultural barriers, systemic discrimination, and healthcare access.
This book provides valuable practical guidance for healthcare professionals, scientists, learners, and patients to integrate digital health platforms into their clinical practice, research, and patient engagement models, fit for individual use and also for multi-stakeholder groups from academia, technology, and industry, with shared interests in applying Innovation (Digital Health, mHealth, Telemedicine, Telehealth, Informatics, Precision Health, Computational Medicine, Social Media, Artificial Intelligence including Machine Learning, Deep Learning, Natural Language Processing, and Neural Networks, & more) to Cardiology and Oncology clinical practice, research, and education.
• Addresses cardiovascular complications from cancer treatment with greater precision and individualization due to advances in personalized medicine, AI, including machine learning.
• Presents successful methods and tools for preventing and managing cardiovascular disease in cancer patients.
• Provides solidified practical best practices relating to innovation technologies and precision in Cardio-Oncology.
• Includes insights and reports on various collaborative projects from the Cardiology Oncology Innovation Network (COIN) network members and colleagues, among a variety of other innovators, including applications of AI and informatics in Cardiology, Oncology, and especially Cardio-Oncology.
1. Chapter 1. Introduction to cardio-oncology - p. 1 2. Chapter 2. Innovation tools and technologies in cardio-oncology - p. 15 3. Chapter 3. The place of cardio-oncology in oncology - p. 31 4. Chapter 4. Prevention, screening, and surveillance in cardio-oncology - p. 69 5. Chapter 5. Innovations in pediatric cardio-oncology - p. 97 6. Chapter 6. Cardio-oncology in the digital era - p. 125 7. Chapter 7. Principles of telehealth and telemedicine in cardio-oncology - p. 141 8. Chapter 8. Advent of mHealth applications in cardio-oncology - p. 159 9. Chapter 9. Artificial intelligence in cardio-oncology: Machine learning, deep learning, and natural language processing - p. 181 10. Chapter 10. AI/ECG in cardio-oncology - p. 193 11. Chapter 11. AI-imaging in cardio-oncology - p. 209 12. Chapter 12. Artificial intelligence in echocardiography - p. 231 13. Chapter 13. Artificial intelligence at the point-of-care in cardio-oncology - p. 249 14. Chapter 14. Precision health and medicine in cardio-oncology - p. 269 15. Chapter 15. Integrated multiomics & systems medicine approach in precision cardio-oncology - p. 297 16. Chapter 16. Network medicine in precision cardio-oncology - p. 327 17. Chapter 17. Computational medicine and patient avatars in cardio-oncology - p. 339 18. Chapter 18. The role of informatics in cardio-oncology - p. 355 19. Chapter 19. Management of big data in cardio-oncology - p. 379 20. Chapter 20. Innovations in cardio-oncology research - p. 405 21. Chapter 21. Innovations in cardio-oncology community engagement - p. 437 22. Chapter 22. Innovative partnerships in academia, technology, and industry in cardio-oncology - p. 463 23. Chapter 23. Medical society synergies in cardio-oncology - p. 483 24. Chapter 24. Medical society guidelines in cardio-oncology - p. 495 25. Chapter 25. Policy and advocacy in cardio-oncology - p. 525 26. Chapter 26. Innovative creative expression in cardio-oncology - p. 543 27. Chapter 27. Innovation in cardio-oncology patient and provider education - p. 561 28. Chapter 28. Patient engagement in cardio-oncology - p. 581 29. Chapter 29. Health equity in cardio-oncology - p. 607 30. Chapter 30. Digital transformation in cardio-oncology - p. 623 31. Chapter 31. Culminating story of the future of cardio-oncology - p. 649 32. Afterword - p. 667 33. Index - p. 679
