Diabetes Digital Health, Telehealth, and Artificial Intelligence

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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.

Contenu

Part I: Digital Health

1. Trends in Digital Health for Diabetes
   Sang Youl Rhee and Eun Jung Rhee
2. Using Digital Health Tools in Medical Practice
   Elizabeth M. Bauer
3. Diabetes Digital Health in the Hospital
   Joseph A. Aloi, Carolyn Keyes and Jagdeesh Ullal
4. Digital Pharmacy for Diabetes
   Steven W. Chen and Evans D. Pope
5. Digital Health and Pharmacoadherence
   Timothy D. Aungst and S. Mimi Mukherjee
6. Food Recognition and Nutritional Apps
   Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Elias K. Spanakis and Stavroula Mougiakakou
7. Accessing and Acting Upon Patient Generated Health Data
   Edward C. Chao
8. Cybersecurity of Digital Health Tools
   Christian Dameff and Jeffrey Tully
9. The Role of Digital Health in Tackling India’s Diabetes Epidemic
   Harish Ranjani, Sharma Nitika, Rajendra Pradeepa, Ranjit Mohan Anjana and Viswanathan Mohan
10. Investment Opportunities in Diabetes Digital Health
    Victoria C. Wang, Michael L. Huang and Jerome Shen
    Part II: Telehealth
11. Virtual Care: Synchronous and Asynchronous Modalities in Diabetes Care
    Leslie A. Eiland, Varsha Vimalananda and Stephanie S. Crossen
12. Trends in Digital Connectivity
    Hazhir Teymourian, Farshad Tehrani and Brian Wuerstle
13. Diabetes Education Via Telehealth
    Jane Jeffrie Seley and Anyanate Gwendolyne
14. Short Messaging Service (SMS) Text Messages in Health Care
    Andrew Farmer, David French and Kiera Bartlett
15. Integration of Continuous Glucose Monitoring Data Into the Electronic Health Record
    Juan C. Espinoza
16. Telehealth in Pediatric Diabetes Management
    Jaquelin Flores Garcia, Stephanie S. Crossen, Mark W. Reid and Jennifer K. Raymond
17. Telehealth for Pregnant Individuals with Diabetes
    Kartik K. Venkatesh, Elizabeth Buschur and Noelia M. Zork
18. Telehealth for Multispecialty Diabetes Care
    Archana Bandi, Gauri Behari, Julio Leey-Casella and Carlos E. Mendez
19. Virtual Reality for Diabetes Telehealth
    Elizabeth A. Beverly, Matthew Love and Carrie Love
    Part III: Artificial Intelligence
20. Introduction to Artificial Intelligence in Diabetes
    Andrew D. Zale, Mohammed S. Abusamaan and Nestoras Mathioudakis
21. Ethics and Fairness for Diabetes Artificial Intelligence
    Jiazhi Li and Wael Abd-Almageed
22. Artificial Intelligence to Support Self-management and Coaching
    Elliot G. Mitchell and Lena Mamykina
23. Predicting Glucotypes in Prediabetes via Wearables and Artificial Intelligence
    Ahmed A. Metwally, Pranav Mehta and Michael P. Snyder
24. Tele-ophthalmology for Diabetic Retinopathy
    Jingtong Huang and Jorge Cuadros
25. Review of Advancements in Noninvasive Detection Techniques of Foot Complications Due to Diabetes
    Amith Khandakar, Muhammad E.H. Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Mohd Ibrahim bin Shapiai, Mohamed Arselene Ayari and Rayaz A. Malik
26. Artificial Intelligence in Automated Hormone Delivery
    Peter G. Jacobs and Clara Mosquera-Lopez
27. Natural Language Processing for Diabetes Digital Health
    Alexander Turchin
28. Artificial Intelligence for Diabetes in the Hospital
    Benjamin P. Sly, Sally Shrapnel and Clair Sullivan