The book also highlights many societal and evidence-based recommended pathways for equitable digital health deployment and utilization in cardio-oncology care. It anticipates that exposing the potential for AI algorithms and innovative health tools widens the already existing healthcare disparities, including inequalities related to race, ethnicity, gender, socioeconomic level, lack of health insurance, linguistic and cultural barriers, systemic discrimination, and limited healthcare access.
Table of Contents
1. Forward2. Introduction to Cardio-Oncology
3. Prevention, Screening, and Surveillance in Cardio-Oncology
4. Cardio-Oncology in the Digital Era
5. Principles of Telehealth in Cardio-Oncology
6. Advent of mHealth Applications in Cardio-Oncology
7. Advent of mHealth Applications in Cardio-Oncology
8. Emergence of Telemedicine in Cardio-Oncology
9. Management of Big Data in Cardio-Oncology
10. Role of Informatics in Cardio-Oncology
11. Systems Medicine Approach in Cardio-Oncology
12. Precision Health and Medicine in Cardio-Oncology
13. Computational Medicine and Patient Avatars in Cardio-Oncology
14. Artificial Intelligence in Cardio-Oncology: Machine Learning, Deep Learning, and Natural Language Processing
15. AI-ECG in Cardio-Oncology
16. AI-Echo in Cardio-Oncology
17. AI-Imaging in Cardio-Oncology
18. AI-POC in Cardio-Oncology
19. Benefits and Cautions of Social Media in Cardio-Oncology
20. Innovation in Cardio-Oncology Clinical Practice
21. Innovation in Cardio-Oncology Patient and Provider Education
22. Innovation in Cardio-Oncology Research
23. Innovation in Cardio-Oncology Community Engagement
24. Innovative partnerships in academia, technology, and industry in Cardio-Oncology
25. Medical Society Synergies in Cardio-Oncology
26. Policy and Advocacy in Cardio-Oncology Innovation
27. Cardio-Oncology and the COVID-19 Pandemic
28. Innovative Creative Expression in Cardio-Oncology
29. How to Foster Creative Expression in Cardio-Oncology
30. How to establish Your Social Media Presence in Cardio-Oncology
31. How to build a Virtual-Hybrid Cardio-Oncology Clinic
32. How to establish an Innovative Program in Cardio-Oncology
33. How to get started in Artificial Intelligence in Cardio-Oncology
34. How to wrangle Big Data in Cardio-Oncology
35. How to leverage Informatics in Cardio-Oncology
36. How to integrate Systems Medicine in Cardio-Oncology
37. How to incorporate Precision Medicine in Cardio-Oncology
38. Innovation in Pediatric Cardio-Oncology
39. Patient Engagement in Cardio-Oncology
40. Health Equity in Cardio-Oncology
41. Digital Transformation in Cardio-Oncology
42. The Place of Cardio-Oncology in Oncology
Authors
Sherry-Ann Brown Mayo Clinic, Division of Cardiovascular Medicine, Department of Medicine, Medical College of Wisconsin; and Research Collaborator, Mayo Clinic, Rochester, MN, USA.Dr. Sherry-Ann Brown is the Director of Cardio-Oncology at Froedtert Hospital & Milwaukee VA Medical Center and an Assistant Professor at the Medical College of Wisconsin, specializing in cardio-oncology and preventive cardiology, especially in women. In her role as Director of Cardio-Oncology, she has collaborated with colleagues to build the Cardio-Oncology program at MCW to facilitate innovative clinical and translational research linked to the Cardio-vascular Research Center and Cancer Center and have also encouraged physicians to increase clinical trials participation and cultivate investigator-initiated trials pertaining to cardio-oncology research. Dr. Brown is board-certified in cardiology and internal medicine. She has several years of clinical and academic experience where she has worked full-time in well reputed cancer institutions, such as The Mayo Clinic, Rochester, Minnesota. She is the author of more than 80 scientific articles in international high impact journals, book chapters, and comments on her area of specialty.
