The Digital Doctor: How Digital Health Can Transform Healthcare discusses digital health and demonstrates the appropriateness of each technology using an evidence-based approach. It serves as a comprehensive summary on current, evidence-based digital health applications, future novel digital health technologies (e.g., mobile health, blockchain, web3.0), as well as some of the current challenges and future directions for digital health within the various medical subspecialties. This book is a comprehensive review of digital health for clinicians, researchers, bioinformatic students, biomedical engineers interested in this topic.
1. Section I. Introduction of digital health in healthcare - p. 1 2. Chapter 1. Transforming primary care through digital health technology - p. 3 3. Chapter 2. AI-powered blockchain technology in healthcare - p. 25 4. Chapter 3. Blockchain applications in healthcare - p. 41 5. Chapter 4. Mobile health apps: Current state, barriers, and future directions - p. 53 6. Chapter 5. Telemedicine origins, current state, and future prospects - p. 69 7. Chapter 6. Telenutrition: Clinical applications and future directions - p. 75 8. Chapter 7. Digital health regulation in the US from the FDA perspective - p. 87 9. Chapter 8. Artificial intelligence in precision space health - p. 103 10. Chapter 9. Metaverse and healthcare - p. 117 11. Chapter 10. Artificial intelligence and public health - p. 127 12. Section II. Digital health in specialties - p. 159 13. Chapter 11. The role of digital health in dermatology - p. 161 14. Chapter 12. Digital health in oncology - p. 167 15. Chapter 13. Ophthalmic digital health - p. 179 16. Chapter 14. Evidence and impact of digital interventions in nephrology - p. 209 17. Chapter 15. Digital health in neurology: Advancements, applications, and impact - p. 217 18. Chapter 16. Digital health in gastroenterology - p. 231 19. Chapter 17. Digital health in hepatology - p. 243 20. Chapter 18. Digital interventions for mental health care - p. 261 21. Chapter 19. Digitalization in orthopedics - p. 275 22. Chapter 20. Artificial intelligence and digital health in Anesthesiology - p. 291 23. Chapter 21. Digital genetics and genomics - p. 309 24. Chapter 22. Digital health in cardiac surgery - p. 317 25. Chapter 23. Digital health in surgery - p. 323 26. Section III. Case study - p. 339 27. Chapter 24. Digital health in end-stage kidney disease - p. 341 28. Chapter 25. Digital health in GERD - p. 357 29. Chapter 26. Digital health for cardiovascular disease and diabetes - p. 363 30. Chapter 27. Digital health in psoriasis - p. 387 31. Chapter 28. Digital health in pituitary surgery - p. 417 32. Section IV. Practical session - p. 433 33. Chapter 29. Practical session in machine learning for healthcare: Step by step guide to beginners - p. 435 34. Index - p. 473
The Digital Doctor: How Digital Health Can Transform Healthcare discusses digital health and demonstrates the appropriateness of each technology using an evidence-based approach. It serves as a comprehensive summary on current, evidence-based digital health applications, future novel digital health technologies (e.g., mobile health, blockchain, web3.0), as well as some of the current challenges and future directions for digital health within the various medical subspecialties. This book is a comprehensive review of digital health for clinicians, researchers, bioinformatic students, biomedical engineers interested in this topic.
1. Section I. Introduction of digital health in healthcare - p. 1 2. Chapter 1. Transforming primary care through digital health technology - p. 3 3. Chapter 2. AI-powered blockchain technology in healthcare - p. 25 4. Chapter 3. Blockchain applications in healthcare - p. 41 5. Chapter 4. Mobile health apps: Current state, barriers, and future directions - p. 53 6. Chapter 5. Telemedicine origins, current state, and future prospects - p. 69 7. Chapter 6. Telenutrition: Clinical applications and future directions - p. 75 8. Chapter 7. Digital health regulation in the US from the FDA perspective - p. 87 9. Chapter 8. Artificial intelligence in precision space health - p. 103 10. Chapter 9. Metaverse and healthcare - p. 117 11. Chapter 10. Artificial intelligence and public health - p. 127 12. Section II. Digital health in specialties - p. 159 13. Chapter 11. The role of digital health in dermatology - p. 161 14. Chapter 12. Digital health in oncology - p. 167 15. Chapter 13. Ophthalmic digital health - p. 179 16. Chapter 14. Evidence and impact of digital interventions in nephrology - p. 209 17. Chapter 15. Digital health in neurology: Advancements, applications, and impact - p. 217 18. Chapter 16. Digital health in gastroenterology - p. 231 19. Chapter 17. Digital health in hepatology - p. 243 20. Chapter 18. Digital interventions for mental health care - p. 261 21. Chapter 19. Digitalization in orthopedics - p. 275 22. Chapter 20. Artificial intelligence and digital health in Anesthesiology - p. 291 23. Chapter 21. Digital genetics and genomics - p. 309 24. Chapter 22. Digital health in cardiac surgery - p. 317 25. Chapter 23. Digital health in surgery - p. 323 26. Section III. Case study - p. 339 27. Chapter 24. Digital health in end-stage kidney disease - p. 341 28. Chapter 25. Digital health in GERD - p. 357 29. Chapter 26. Digital health for cardiovascular disease and diabetes - p. 363 30. Chapter 27. Digital health in psoriasis - p. 387 31. Chapter 28. Digital health in pituitary surgery - p. 417 32. Section IV. Practical session - p. 433 33. Chapter 29. Practical session in machine learning for healthcare: Step by step guide to beginners - p. 435 34. Index - p. 473
