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Diabetes Digital Health, Telehealth, and Artificial Intelligence

Specificaties
Paperback, blz. | Engels
Elsevier Science | 2024
ISBN13: 9780443132445
Rubricering
Elsevier Science e druk, 2024 9780443132445
€ 172,60
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Samenvatting

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.

Specificaties

ISBN13:9780443132445
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

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