Artificial Intelligence for Improved Patient Outcomes: Principles for Moving Forward with Rigorous Science

Artificial Intelligence for Improved Patient Outcomes: Principles for Moving Forward with Rigorous Science

by Daniel W. Byrne
Artificial Intelligence for Improved Patient Outcomes: Principles for Moving Forward with Rigorous Science

Artificial Intelligence for Improved Patient Outcomes: Principles for Moving Forward with Rigorous Science

by Daniel W. Byrne

eBook

$89.99 

Available on Compatible NOOK devices, the free NOOK App and in My Digital Library.
WANT A NOOK?  Explore Now

Related collections and offers


Overview

Artificial Intelligence for Improved Patient Outcomes provides new, relevant, and practical information on what AI can do in healthcare and how to assess whether AI is improving health outcomes.  With clear insights and a balanced approach, this innovative book offers a one-stop guide on how to design and lead pragmatic real-world AI studies that yield rigorous scientific evidence—all in a manner that is safe and ethical. Daniel Byrne, Director of Artificial Intelligence Research at AVAIL (the Advanced Vanderbilt Artificial Intelligence Laboratory) and author of landmark pragmatic studies published in leading medical journals, shares four decades of experience as a biostatistician and AI researcher. Building on his first book, Publishing Your Medical Research, the author gives the reader the competitive advantage in creating reproducible AI research that will be accepted in prestigious high-impact medical journals.

Product Details

ISBN-13: 9781975197940
Publisher: Wolters Kluwer Health
Publication date: 12/15/2022
Sold by: Barnes & Noble
Format: eBook
Pages: 272
File size: 12 MB
Note: This product may take a few minutes to download.
From the B&N Reads Blog

Customer Reviews