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Full Description
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.
Contents
1. Introduction to cardio-oncology
2. Innovation tools and technologies in cardio-oncology
3. The place of cardio-oncology in oncology
4. Prevention, screening, and surveillance in cardio-oncology
5. Innovations in pediatric cardio-oncology
6. Cardio-oncology in the digital era
7. Principles of telehealth and telemedicine in cardio-oncology
8. Advent of mHealth applications in cardio-oncology
9. Artificial intelligence in cardio-oncology. Machine learning, deep learning, and natural language processing
10. AI/ECG in cardio-oncology
11. AI-imaging in cardio-oncology
12. Artificial intelligence in echocardiography
13. Artificial intelligence at the point-of-care in cardio-oncology
14. Precision health and medicine in cardio-oncology
15. Integrated multiomics & systems medicine approach in precision cardio-oncology
16. Network medicine in precision cardio-oncology
17. Computational medicine and patient avatars in cardio-oncology
18. The role of informatics in cardio-oncology
19. Management of big data in cardio-oncology
20. Innovations in cardio-oncology research
21. Innovations in cardio-oncology community engagement
22. Innovative partnerships in academia, technology, and industry in cardio-oncology
23. Medical society synergies in cardio-oncology
24. Medical society guidelines in cardio-oncology
25. Policy and advocacy in cardio-oncology
26. Innovative creative expression in cardio-oncology
27. Innovation in cardio-oncology patient and provider education
28. Patient engagement in cardio-oncology
29. Health equity in cardio-oncology
30. Digital transformation in cardio-oncology
31. Culminating story of the future of cardio-oncology
