ABSTRACT

This title demystifies artificial intelligence (AI) and analytics, upskilling individuals (healthcare professionals, hospital managers, consultants, researchers, students, and the population at large) around analytics and AI as it applies to healthcare.

This book shows how the tools, techniques, technologies, and tactics around analytics and AI can be best leveraged and utilised to realise a healthcare value proposition of better quality, better access and high value for everyone every day, everywhere. The book presents a triumvirate approach including technical, business and medical aspects of data and analytics and by so doing takes a responsible approach to this key area.

This work serves to introduce the critical issues in AI and analytics for healthcare to students, practitioners, and researchers.

part Section I|97 pages

Technical Considerations

chapter Chapter 1|20 pages

Medical Image Processing

chapter Chapter 2|39 pages

Smart Wearables in Healthcare

chapter Chapter 3|16 pages

Causal AI in Personalised Healthcare

chapter Chapter 4|20 pages

Interpretable AI in Healthcare

part Section III|100 pages

Clinical Applications

chapter Chapter 10|17 pages

Machine Learning for Healthcare Applications

Possibilities and Barriers

chapter Chapter 13|10 pages

Using Simulators to Assist with Mental Health Issues

The Impact of a Sailing Simulator on People with ADHD

part Section IV|83 pages

Human Factors

chapter Chapter 15|24 pages

Implications and Considerations of AI for the Healthcare Workforce

A Theoretical Perspective

chapter Chapter 16|23 pages

Unplanned Readmission Risks for Comorbid Patients of Diabetes

An Action Design Research Paradigm Data-Driven Decision Support

chapter |1 pages

Epilogue