Artificial Intelligence and Machine Learning in Healthcare Image close
Artificial Intelligence and Machine Learning in Healthcare
Artificial Intelligence and Machine Learning in Healthcare
Show Hide Adult Content
Artificial Intelligence and Machine Learning in Healthcare close

Business & Economics Books:

Home  
Books  
Business & Economics  
Industry Studies  
Manufacturing industries  
Hi-tech manufacturing industries  
Biotechnology industries

Artificial Intelligence and Machine Learning in Healthcare

Click to share your rating 0 ratings (0.0/5.0 average) Thanks for your vote!

Format:

Paperback / softback
$335.00
Releases

Pre-order to reserve stock from our first shipment. Your credit card will not be charged until your order is ready to ship.

Available for pre-order now
0 in Trolley
Free Delivery with Primate
Join Now

Free 14 day free trial, cancel anytime.

Buy Now, Pay Later with:

4 payments of $83.75 with Afterpay Learn more

6 weekly interest-free payments of $55.83 with Laybuy Learn more

Pre-order Price Guarantee

If you pre-order an item and the price drops before the release date, you'll pay the lowest price. This happens automatically when you pre-order and pay by credit card or pickup.

If paying by PayPal, Afterpay, Laybuy, Zip, Klarna, POLi, Online EFTPOS or internet banking, and the price drops after you have paid, you can ask for the difference to be refunded.

If Mighty Ape's price changes before release, you'll pay the lowest price.

Availability

This product will be released on

Delivering to:

It should arrive:

  • 8-15 October using International Courier

Description

Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machine learning can improve healthcare, however there are still many doubts and concerns among health professionals, all of which are addressed in this book. Sections cover History and Basic Overview of AI and ML, with differentiation of supervised, unsupervised and deep learning, Applications of AI and ML in Healthcare, The Future of Healthcare with AI, Challenges to Adopting AI in Healthcare, and ethics and legal processes for implementation. This book is a valuable resource for bioinformaticians, clinicians, graduate students and several members of biomedical field who needs to get up to speed on the revolutionary role of AI and Machine Learning in healthcare.

Author Biography:

Arman Kilic, MD, is Director, Surgical Quality and Analytics for University of Pittsburgh Division of Cardiac Surgery, and Co-Director, Center for Cardiovascular Outcomes and Innovation, University of Pittsburgh Medical Center. Dr. Kilic works on a national task force for artificial intelligence and machine learning in cardiac surgery and has extensive collaboration with internationally renowned machine learning experts at Carnegie Mellon University, the #1 ranked machine learning program according to U.S. News & World Report. He has a vast network of national and international colleagues who can collaborate on this project and contribute as authors of chapters. Dr. Kilic has 158 peer-reviewed publications, 14 book chapters, and 111 meeting presentations.
Release date NZ
October 1st, 2024
Contributor
  • Edited by Arman KIlic
Pages
300
Audience
  • Professional & Vocational
Illustrations
80 illustrations (30 in full color); Illustrations, unspecified
ISBN-13
9780128225189
Product ID
35565137

Customer previews

Nobody has previewed this product yet. You could be the first!

Write a Preview

Recommended for you

Recommended from your browsing history

Help & options

Filed under...

Books >
Business & Economics >
Industry Studies >
Manufacturing industries >
Hi-tech manufacturing industries >
Biotechnology industries
Books >
Non-Fiction >
Professional & Technical >
Medicine >
Medicine: general issues >
Public health & preventive medicine >
Personal & public health
Books >
Non-Fiction >
Technology >
Biochemical engineering >
Biotechnology
Books >
Computers & Internet >
Computer science >
Artificial intelligence >
Machine learning