Artificial Intelligence in Healthcare: Unlocking its Potential

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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 outcomesKnow where AI implementation has worked, and the lessons learned from where it hasn’tHave a new approach to consider when designing, selecting, and deploying AI solutions in healthcare to increase the likelihood of success and adoption at scale

Publisher ‏ : ‎ N. Janak Gunatilleke (6 July 2022)
Language ‏ : ‎ English
Paperback ‏ : ‎ 266 pages
ISBN-10 ‏ : ‎ 1739637402
ISBN-13 ‏ : ‎ 978-1739637408
Item Weight ‏ : ‎ 1 kg 50 g
Dimensions ‏ : ‎ 13.97 x 1.68 x 21.59 cm
Country of Origin ‏ : ‎ India

Reviewer: Dr Rakesh M Pathak
Rating: 5.0 out of 5 stars
Title: Review about the e-book ‘Artificial intelligence in health care.’
Review: Pertinent depiction of the topic with appropriate examples.A good reference e-bookfor the subject .

Reviewer: Alexia
Rating: 5.0 out of 5 stars
Title:
Review: 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.

Reviewer: Jesus
Rating: 5.0 out of 5 stars
Title:
Review: 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.

Reviewer: JT
Rating: 1.0 out of 5 stars
Title:
Review: This 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.

Reviewer: Amazon Customer
Rating: 5.0 out of 5 stars
Title:
Review: 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!

Reviewer: OceanSkyDiving
Rating: 3.0 out of 5 stars
Title:
Review: This is ok as an overview. I was looking for more depth and detail. In general, the writing could have been better.

4

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