Diabetes Digital Health, Telehealth, and Artificial Intelligence

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 diseaseDescribes the most important issues of our time that comprise the most important technologies currently being applied to diabetesPresented 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 INDICE: Part I: Digital Health1. Trends in Digital Health for DiabetesSang Youl Rhee and Eun Jung Rhee2. Using Digital Health Tools in Medical PracticeElizabeth M. Bauer3. Diabetes Digital Health in the HospitalJoseph A. Aloi, Carolyn Keyes and Jagdeesh Ullal4. Digital Pharmacy for DiabetesSteven W. Chen and Evans D. Pope5. Digital Health and PharmacoadherenceTimothy D. Aungst and S. Mimi Mukherjee6. Food Recognition and Nutritional AppsLubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Elias K. Spanakis and Stavroula Mougiakakou7. Accessing and Acting Upon Patient Generated Health DataEdward C. Chao8. Cybersecurity of Digital Health ToolsChristian Dameff and Jeffrey Tully9. The Role of Digital Health in Tackling India’s Diabetes EpidemicHarish Ranjani, Sharma Nitika, Rajendra Pradeepa, Ranjit Mohan Anjana and Viswanathan Mohan10. Investment Opportunities in Diabetes Digital HealthVictoria C. Wang, Michael L. Huang and Jerome ShenPart II: Telehealth11. Virtual Care: Synchronous and Asynchronous Modalities in Diabetes CareLeslie A. Eiland, Varsha Vimalananda and Stephanie S. Crossen12. Trends in Digital ConnectivityHazhir Teymourian, Farshad Tehrani and Brian Wuerstle13. Diabetes Education Via TelehealthJane Jeffrie Seley and Anyanate Gwendolyne14. Short Messaging Service (SMS) Text Messages in Health CareAndrew Farmer, David French and Kiera Bartlett15. Integration of Continuous Glucose Monitoring Data Into the Electronic Health RecordJuan C. Espinoza16. Telehealth in Pediatric Diabetes ManagementJaquelin Flores Garcia, Stephanie S. Crossen, Mark W. Reid and Jennifer K. Raymond17. Telehealth for Pregnant Individuals with DiabetesKartik K. Venkatesh, Elizabeth Buschur and Noelia M. Zork18. Telehealth for Multispecialty Diabetes CareArchana Bandi, Gauri Behari, Julio Leey-Casella and Carlos E. Mendez19. Virtual Reality for Diabetes TelehealthElizabeth A. Beverly, Matthew Love and Carrie LovePart III: Artificial Intelligence20. Introduction to Artificial Intelligence in DiabetesAndrew D. Zale, Mohammed S. Abusamaan and Nestoras Mathioudakis21. Ethics and Fairness for Diabetes Artificial IntelligenceJiazhi Li and Wael Abd-Almageed22. Artificial Intelligence to Support Self-management and CoachingElliot G. Mitchell and Lena Mamykina23. Predicting Glucotypes in Prediabetes via Wearables and Artificial IntelligenceAhmed A. Metwally, Pranav Mehta and Michael P. Snyder24. Tele-ophthalmology for Diabetic RetinopathyJingtong Huang and Jorge Cuadros25. Review of Advancements in Noninvasive Detection Techniques of Foot Complications Due to DiabetesAmith Khandakar, Muhammad E.H. Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Mohd Ibrahim bin Shapiai, Mohamed Arselene Ayari and Rayaz A. Malik26. Artificial Intelligence in Automated Hormone DeliveryPeter G. Jacobs and Clara Mosquera-Lopez27. Natural Language Processing for Diabetes Digital HealthAlexander Turchin28. Artificial Intelligence for Diabetes in the HospitalBenjamin P. Sly, Sally Shrapnel and Clair Sullivan

• ISBN: 978-0-443-13244-5
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 404
• Fecha Publicación: 21/06/2024
• Nº Volúmenes: 1
• Idioma: Inglés