Precision Health and Artificial Intelligence: 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.

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

本書提供了對精準（即個人化）醫療的全面解釋，並探討如何通過人工智能（AI）和其他數據驅動技術來推進精準醫療。從改善診斷、治療和監測多種疾病到有效實施精準患者護理，本書將幫助您了解由數字健康技術和物聯網產生的數據集，並教您如何應用卷積神經網絡和深度學習等分析方法來分析這些數據。您還將看到這種數據驅動的方法如何增強和民主化以價值為基礎的醫療交付。此外，您還將了解到AI和精準醫療的融合如何革新醫療，包括精準醫學面臨的一些最困難的挑戰，如倫理、偏見、隱私和健康公平性。

《精準健康與人工智能》為臨床醫生、工程師、生物信息學家和醫療愛好者提供了將AI應用於醫療的基礎。

您將學到什麼：
- 理解促進精準健康和個人化護理所需的組件
- 應用和實施精準健康系統
- 克服大規模提供精準醫療的挑戰
- 調和提供精準醫療的倫理和道德影響
- 瞭解提供精準醫療時提供者面臨的障礙

本書適合對象：
醫療專業人士、臨床醫生、工程師、生物信息學家、首席信息官（CIO）和學生。

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.
Arjun is an advisor to the Information School, University of Sheffield, an Honorary Clinical Lecturer in precision healthcare and AI at Warwick Medical School, University of Warwick, an Alumni Fellow to the NHS Innovation Accelerator, and recognized by Imperial College as an Emerging Alumni Leader in 2020 for his contribution and impact to health.

Arjun Panesar是DDM Health的創始人，DDM Health是一家為超過180萬人提供數字治療的多次獲獎機構。他擁有倫敦帝國學院的計算機和人工智能（AI）一等榮譽學位（MEng），並在大數據和AI領域擁有超過二十年的經驗。Arjun領導著基於證據的數字創新的開發，利用機器學習的力量為全球的患者、衛生服務和政府提供精確的健康和醫療服務。他的工作獲得了BBC、福布斯、新科學家和泰晤士報的認可，並獲得了一系列的創新、商業和技術獎項。最近，DDM Health的應用程序被譽為歐洲評分最高的數字健康應用程序。

Arjun是谢菲尔德大学信息学院的顾问，也是华威大学华威医学院精准医疗和人工智能的名誉临床讲师，是NHS创新加速器的校友研究员，并因其对健康事业的贡献和影响力而被帝国理工学院评为2020年新兴校友领袖。