Diabetes Digital Health, Telehealth, and Artificial Intelligence

Released on by David C. Klonoff
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  • Diabetes Digital Health, Telehealth, and Artificial Intelligence Book Detail

  • Author : David C. Klonoff
  • Release Date : 2024-06-21
  • Publisher : Elsevier
  • Genre : Medical
  • Pages : 406
  • ISBN 13 : 0443132437
  • File Size : 25,25 MB
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Diabetes Digital Health, Telehealth, and Artificial Intelligence by David C. Klonoff PDF Summary

Book Description: 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 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

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