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

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 dematize 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.

What You Will Learn

  • Understand the components required to facilitate precision health and personalized care
  • Apply and implement precision health systems
  • Overcome the challenges of delivering precision healthcare at scale
  • Reconcile ethical and moral implications of delivering precision healthcare
  • Gain insight into the hurdles providers face while implementing precision healthcare

    Who This Book Is For
    Healthcare professionals, clinicians, engineers, bioinformaticians, chief information officers (CIOs), and students

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