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Artificial Intelligence in Healthcare: Unlocking its Potential
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"An excellent overview of the current AI landscape in healthcare. A must read for any stakeholder engaged in the field."
Dr Tom Oakley, Doctor & Serial entrepreneur
"This is a very welcome book that will guide clinicians, vendors, researchers, and other stakeholders about the essential steps for adopting AI in healthcare."
Dr Sandeep Reddy
Chairman, Medi-AI Associate Professor, School of Medicine, Deakin University, Australia
“A very approachable and informative book for people at all levels of expertise. Drawing on lessons from different countries to provide valuable insight for the application of AI in healthcare.”
Dr Pritesh Mistry
Digital health tech innovation expert
Overview
Do you want to learn about how AI can and can’t help improve healthcare?
Do you want to learn how to improve the adoption of AI in healthcare?
AI is often seen as a silver bullet, but in many instances AI and data based solutions in healthcare don’t fully address the problem and are sometimes not clinically safe. The current adoption of AI in healthcare is at best ad hoc, with a large number of solutions stuck in the proof of concept stage, limited to certain specialities or without robust evidence of their effectiveness.
Healthcare has always faced significant challenges, only increased by unprecedented events related to the Covid-19 pandemic. AI solutions have been proven to work and add value in other industries, and it has potential to do the same in healthcare and to help address issues which face the industry.
While there are parallels between healthcare and other industries with respect to the implementation of AI solutions, the healthcare industry is unique. The nature of healthcare, and its impact on people’s lives, makes certain factors more important than in other industries.
Existing guidance and manuals provide good insights, however, you have to refer to many different sources, and attempt to ‘knit it all together’. This book presents you with a more holistic approach, which improves the likelihood of a successful implementation and, later, scalability; an approach which considers both the solution lifecycle and the stakeholders involved in it. This book also highlights certain enablers which need support, planning and funding at a national level. It expands on the technical and academic style of previous resources to provide you with an accessible reference guide that is practitioner and implementation focused, grounded in evidence, and brought to life by real life examples and expert interviews.
By the end of this book, you will:
- Understand the potential of AI to add value in healthcare and to improve patient outcomes
- Know where AI implementation has worked, and the lessons learned from where it hasn’t
- Have a new approach to consider when designing, selecting, and deploying AI solutions in healthcare to increase the likelihood of success and adoption at scale
- Digital health and wearables podcast with João Bocas - https://lnkd.in/eXjXx2Zx
- ISBN-101739637402
- ISBN-13978-1739637408
- Publication dateJune 17, 2022
- LanguageEnglish
- Dimensions5.5 x 0.66 x 8.5 inches
- Print length264 pages
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Editorial Reviews
Review
"Packed with examples and insights from experts, this book is the go-to guide for anyone interested in how we might leverage AI to improve healthcare services and develop a healthcare system fit for the 21st century."
DR VICTORIA BETTON, expert in human-centred design and digital health, author of 'Towards a Digital Health Ecology: NHS Digital Adoption through the COVID-19 Looking Glass'
About the Author
Product details
- Publisher : Janak Gunatilleke
- Publication date : June 17, 2022
- Language : English
- Print length : 264 pages
- ISBN-10 : 1739637402
- ISBN-13 : 978-1739637408
- Item Weight : 2.31 pounds
- Dimensions : 5.5 x 0.66 x 8.5 inches
- Best Sellers Rank: #643,401 in Books (See Top 100 in Books)
- #594 in Health Care Delivery (Books)
- #1,081 in Artificial Intelligence & Semantics
- #3,326 in Industries (Books)
- Customer Reviews:
About the author

Dr Janak Gunatilleke has more than 16 years’ experience in healthcare. He has a specialised skill set, with experience both working as a medical doctor and developing and implementing data-driven and technology enabled improvements in healthcare. He co-founded the AI technology firm Conscient AI Labs.
Janak was a member of the evaluation panel for the NHS AI in Health and Care Award, and is a fellow of the Faculty of Clinical Informatics.
He has an Executive MBA from the University of Cambridge and is completing his dissertation for a Master’s in Data Science, Technology and Innovation from the University of Edinburgh.
Find out more at https://unlockaiforhealth.com/ and https://usehealthdata.com/
Listen to my interview about AI implementation in healthcare - https://www.youtube.com/watch?v=AuvVHAPX2R8
Customer reviews
Customer Reviews, including Product Star Ratings help customers to learn more about the product and decide whether it is the right product for them.
To calculate the overall star rating and percentage breakdown by star, we don’t use a simple average. Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. It also analyzed reviews to verify trustworthiness.
Learn more how customers reviews work on AmazonTop reviews from the United States
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- Reviewed in the United States on October 29, 2022The author has done a nice job interviewing AI experts (mostly from the UK) to understand the obstacles that stand in the way of those trying to improve patient outcomes with AI. He explains why we see more AI success stories outside of healthcare and what needs to change to see success stories within medicine. This is a positive playbook about how to learn lessons from others and succeed at implementing AI in medicine.
- Reviewed in the United States on May 1, 2023This book is mainly summaries of AI in healthcare sectors that you can easily glean from the Internet. It is relatively UK focused so not very practical for most readers. The discussions are very general without much technical background so it is not enough technical details for the clinicians to render this book a useful one. There are a few others in this domain that are far better in content and in scope.
Top reviews from other countries
- JesusReviewed in the United Kingdom on December 8, 2023
5.0 out of 5 stars Insightful and relevant
This book offers profound insights into the evolving landscape of healthcare, blending expert analysis with practical applications. It's an essential read for anyone seeking to understand and innovate in the healthcare sector.
- Dr Rakesh M PathakReviewed in India on January 31, 2024
5.0 out of 5 stars Review about the e-book 'Artificial intelligence in health care.'
Pertinent depiction of the topic with appropriate examples.A good reference e-book
for the subject .
- AlexiaReviewed in Brazil on April 27, 2024
5.0 out of 5 stars Excellent book
The author clearly has a lot of knowledge on the subject of AI in Healthcare, and is able to communicate his knowledge in a clear and thoughtful manner. Excellent read, very informative.
- AnitaReviewed in India on April 9, 2025
3.0 out of 5 stars Nice book
Nice book
- Amazon CustomerReviewed in the United Kingdom on February 20, 2023
5.0 out of 5 stars Insightful, and thoughtful read
Read this book if nothing else else but for the fact that Janak interviews (and knows) the policy makers, regulators, operational and IT leaders, and most importantly clinicians who are spearheading the application of machine learning in real world health care settings. Informative and enjoyable read. Particularly enjoyed the DRS (3rd umpire) analogy for computer vision in radiology - I’ll let you the reader unearth that gem!