Precision Health and Artificial Intelligence: With Privacy, Ethics, Bias, Health Equity, Best Practices, and Case Studie: With Privacy, Ethics, Bias, Health Equity, Best Practices, and Case Studies

This book provides a comprehensive explanation of precision (i.e., personalized) healthcare and explores how it can be advanced through artificial intelligence (AI) and other data-driven technologies.

From improving the diagnosis, treatment, and monitoring of many medical conditions to the effective implementation of precise patient care, this book will help you understand datasets produced from digital health technologies and IoT and teach you how to employ analytical methods such as convolutional neural networks and deep learning to analyze that data. You’ll also see how this data-driven approach can enhance and democratize value-based healthcare delivery. Additionally, you’ll learn how the convergence of AI and precision health is revolutionizing healthcare, including some of the most difficult challenges facing precision medicine, such as ethics, bias, privacy, and health equity. 

Precision Health and Artificial Intelligence provides the groundwork for clinicians, engineers, bioinformaticians, and healthcare enthusiasts to apply AI to healthcare.

Arjun Panesar is the founder of DDM Health, a multi-award-winning provider of digital therapeutics to over 1.8 million people. He holds a first-class honors degree (MEng) in Computing and Artificial Intelligence (AI) from Imperial College, London, and has more than two decades of experience in big data and AI. Arjun leads the development of evidence-based digital innovations that harness the power of machine learning to provide precision health and medicine to patients, health services, and governments worldwide. His work has received recognition from the BBC, Forbes, New Scientist, and The Times, and has been awarded an array of innovation, business, and technology awards. Most recently, DDM Health’s apps were recognized as the highest-rated digital health apps in Europe.