Diabetes Digital Health, Telehealth, and Artificial Intelligence

Coordinators: Klonoff David C., Kerr David, Espinoza Juan

Language: English
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300 p. · 19x23.3 cm · Paperback

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. According to 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. Diabetes Digital Health, Telehealth, and Artificial Intelligence explore 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.

1. Diabetes and the Digital Divide
2. Digital Health and Pharmacoadherence
3. Using Digital Health Tools in Medical Practice
4. Electronic Health Record and Digital Health
5. Cybersecurity of Digital Health Tools
6. Economics of Digital Health?
7. Current state of Digital Health Regulation - FDA Perspective
8. Digital Health in Low and Middle Income Countries
9. Food Recognition and Nutritional Apps
10. CGM and Digital Health Tools for Lifestyle Modification
11. Virtual Reality for Diabetes Telehealth
12. Virtual Care: synchronous and asynchronous modalities in diabetes care
13. The Integration of Continuous Glucose Monitor Data into the EHR Project
14. Text Messaging for Diabetes
15. Outcomes of Telehealth Care
16. Economic Analysis of Diabetes Telehealth
17. Diabetes Education via Telehealth
18. Pediatric Telehealth for Diabetes
19. Trends in Digital Connectivity
20. Telehealth in Pregnancy
21. Ethics and Fairness for Diabetes Artificial Intelligence
22. AI for Diabetic Foot Ulcers
23. AI-Powered Tele-ophthalmology for Diabetic Retinopathy
24. Precision Monitoring for Diabetes
25. AI to Diagnose Diabetes
26. AI for Insulin Dosing in an Automated Insulin Delivery System
27. An Introduction to AI for Diabetes
28. AI to Support Self-management and Coaching
29. AI to Diagnose Glucotypes in Pre-diabetes
30. Machine Learning to Improve Inpatient Management of Diabetes
31. Natural Language Processing for Diabetes Digital Health
Dr. David C. Klonoff, MD, FACP, FRCP (Edin), is an endocrinologist specializing in the development of diabetes technology. He is Medical Director of the Dorothy L. and James E. Frank Diabetes Research Institute of Mills-Peninsula Medical Center in San Mateo, California and a Clinical Professor of Medicine at UCSF, USA. Dr. Klonoff received the American Diabetes Association’s 2019 Outstanding Physician Clinician Award. He has received an FDA Director’s Special Citation Award for outstanding contributions related to diabetes technology. He is the Founding Editor-in-Chief of Journal of Diabetes Science and Technology and co-founded the Digital Diabetes Congress. He chairs the Scientific Advisory Board for the Texas A&M University Precise Advanced Technologies and Health Systems for Underserved Populations (PATHS-UP) Engineering Research Center. He is currently researching new devices and drugs for diabetes. Dr. Klonoff graduated from UC Berkeley and UCSF Medical School and did five years of internal medicine and endocrinology training at UCLA and UCSF.
Dr. David Kerr is Director of Research and Innovation at Sansum Diabetes Research Institute, Santa Barbara, and Director of Digital Services for the Diabetes Technology Society. Previously he was Consultant Physician in Internal Medicine and Endocrinology at the Bournemouth Diabetes and Endocrine Centre in the UK. His research and innovation continue to focus on the use of technology for diabetes care and also the new area of digital health. He is co-founder of the annual Digital Diabetes Congress and recently launched a major long-term initiative to reduce the burden of diabetes for an underserved population in the United States through the creation of an innovative long-term cohort study (Mil Familias). He is also lead investigator in a program exploring the value of food as medicine through the use of medical prescriptions of vegetables for adults with or at risk of type 2 diabetes (Farming for Life).
Dr. Juan
  • Includes Artificial intelligence (AI) data for 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 follow format help those new to the field understand and compare/contrast various elements of digital health, telehealth, and artificial intelligence for diabetes