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

Byrne, Daniel W.

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Book Information
Edition:	1st
Publisher:	Lippincott Williams & Wilkins
ISBN:	1-975197-93-3 (1975197933)
ISBN-13:	978-1-975197-93-3 (9781975197933)
Binding:	Softcover
Copyright:	2024
Publish Date:	04/23
Weight:	0.75 Lbs.
Pages:	266
Carton Quantity:	30
Subject Class:	M-A (Medical Administration and Health Policy)
Return Policy:	Returns accepted up to 12 months provided no other recalls or return restrictions apply.
Contributing Authors:	View
ProQuest Ebook Central:	Available in ProQuest Ebook Central™ View

Class Specifications
Discipline:	Medical Prof
Subject Definition:	Artificial Intelligence; Precision Medicine; Outcome Assessm
NLM Class:	W 26.55
LC Class:	R859.7
Abstract:	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.

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