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

Author:   Arjun Panesar
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484291610


Pages:   172
Publication Date:   26 January 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Precision Health and Artificial Intelligence: With Privacy, Ethics, Bias, Health Equity, Best Practices, and Case Studies


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Author:   Arjun Panesar
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.302kg
ISBN:  

9781484291610


ISBN 10:   1484291611
Pages:   172
Publication Date:   26 January 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1:  Introduction to Precision Health and Artificial IntelligenceChapter Goal: An introduction to precision health, the concepts of AI-wearables, health data and health tech and how they transform the health industry No of pages: 15 Chapter 2:  Foundations of Precision HealthChapter Goal: A deep dive into precision health including key principles and processes.No of pages: 25 Chapter 3: DataChapter Goal: Data has been the beginning of many great products, services or ventures in health tech — explore types of data, and how they can be used.No of pages: 25Sub - Topics:       1.    Little and big data2.    Types of data3.    Wearables and IoT, genomics4.    Using data to enable precision health Chapter 4: Artificial Intelligence in Precision HealthChapter Goal: Concepts and ideas in artificial intelligence (AI) and machine learning -- including statistical approaches, visualization, human-computer interactions and evaluating health AI.Pages: 251.    Statistical approaches2.    Visualization3.    Human computer interaction4.    Evaluations of AI Chapter 5: Ethics and RegulatoryChapter Goal: An in-depth study of legal, ethical, and regulatory concepts in precision health.No of pages: 35Sub - Topics:1.Ethics2.Legal3.Regulatory concerns  Chapter 6: Case Studies: The Application of Artificial Intelligence in Precision Healthcare and MedicineChapter Goal:      Applications of AI techniques and software tools. This will primarily involve exploring recent examples of AI and Machine Learning tools being specifically used to aid in clinical practice.Pages: 251. Best case examples of AI to aid clinical practice

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Author Information

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.

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