Diabetes Digital Health, Telehealth, and Artificial Intelligence
Langue : Anglais
Coordonnateurs : Klonoff David C., Kerr David, Espinoza Juan
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.
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
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
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
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 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
Date de parution : 07-2024
Ouvrage de 300 p.
19x23.3 cm
Thème de Diabetes Digital Health, Telehealth, and Artificial... :
© 2024 LAVOISIER S.A.S.
