Diabetes Digital Health, Telehealth, and Artificial Intelligence
eBook - ePub

Diabetes Digital Health, Telehealth, and Artificial Intelligence

  1. 300 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Diabetes Digital Health, Telehealth, and Artificial Intelligence

About this book

Diabetes Digital Health, Telehealth, and Artificial Intelligence explains how to develop and use the emerging technologies of digital health, telehealth, and artificial intelligence to address this important public health problem to deliver new hardware, software, and processes. The book explores trends in developing and deploying the three most important emerging technologies for diabetes: digital health, telehealth, and artificial intelligence. This book is essential to clinicians, scientists, engineers, industry professionals, regulators, and investors, offering the tools that will be used to create the next generation products to support a precision medicine approach to manage diabetes.According to the CDC, in the US there are 37 million people with diabetes and 96 million people with prediabetes. Diabetes triples the risk of myocardial infarction and stroke and is the leading cause of blindness, end stage renal failure, and amputations. The management of diabetes is becoming increasingly dominated by digital health tools consisting of wearable sensors, mobile applications providing decision support software, and wireless communication tools. Digital health provides new data streams that can be combined to create unique approaches for diabetes based on a precision medicine paradigm. - Includes Artificial intelligence (AI) data for the prediction, diagnosis, treatment, and prognostication for diabetes as a model disease - Describes the most important issues of our time that comprise the most important technologies currently being applied to diabetes - Presented in a consistent easy to help those new to the field understand and compare/contrast various elements of digital health, telehealth, and artificial intelligence for diabetes

Information

Publisher
Academic Press
Year
2024
Print ISBN
9780443132445
eBook ISBN
9780443132438
Topic
Medicina
Subtopic
Endocrinologia e metabolismo

Table of contents

  1. Cover
  2. Front Matter
  3. Table of Contents
  4. Copyright
  5. Contributors
  6. Preface
  7. Acknowledgments
  8. List of Illustrations
  9. List of Tables
  10. Chapter 1 : Trends in Digital Health for Diabetes
  11. Chapter 2 : Using Digital Health Tools in Medical Practice
  12. Chapter 3 : Diabetes Digital Health in the Hospital
  13. Chapter 4 : Digital Pharmacy for Diabetes
  14. Chapter 5 : Digital Health and Pharmacoadherence
  15. Chapter 6 : Food Recognition and Nutritional Apps
  16. Chapter 7 : Accessing and Acting Upon Patient-Generated Health Data
  17. Chapter 8 : Cybersecurity of Digital Health Tools
  18. Chapter 9 : The Role of Digital Health in Tackling India's Diabetes Epidemic
  19. Chapter 10 : Investment Opportunities in Diabetes Digital Health
  20. Chapter 11 : Virtual Care: Synchronous and Asynchronous Modalities in Diabetes Care
  21. Chapter 12 : Trends in Digital Connectivity
  22. Chapter 13 : Diabetes Education via Telehealth
  23. Chapter 14 : Short Message Service (SMS) Text Messages in Health Care
  24. Chapter 15 : Integration of Continuous Glucose Monitoring Data Into the Electronic Health Record
  25. Chapter 16 : Telehealth in Pediatric Diabetes Management
  26. Chapter 17 : Telehealth for Pregnant Individuals with Diabetes
  27. Chapter 18 : Telehealth for Multispecialty Diabetes Care
  28. Chapter 19 : Virtual Reality for Diabetes Telehealth
  29. Chapter 20 : Introduction to Artificial Intelligence in Diabetes
  30. Chapter 21 : Ethics and Fairness for Diabetes Artificial Intelligence
  31. Chapter 22 : Artificial Intelligence to Support Self-management and Coaching
  32. Chapter 23 : Predicting Glucotypes in Prediabetes via Wearables and Artificial Intelligence
  33. Chapter 24 : Tele-ophthalmology for Diabetic Retinopathy
  34. Chapter 25 : Review of Advancements in Noninvasive Detection Techniques of Foot Complications Due to Diabetes
  35. Chapter 26 : Artificial Intelligence in Automated Hormone Delivery
  36. Chapter 27 : Natural Language Processing for Diabetes Digital Health
  37. Chapter 28 : Artificial Intelligence for Diabetes in the Hospital
  38. Index
  39. A

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Yes, you can access Diabetes Digital Health, Telehealth, and Artificial Intelligence by David C. Klonoff, David Kerr, Juan Espinoza, David C. Klonoff,David Kerr,Juan Espinoza in PDF and/or ePUB format, as well as other popular books in Medicina & Endocrinologia e metabolismo. We have over 1.5 million books available in our catalogue for you to explore.