Artificial Intelligence for Improved Patient Outcomes

Artificial Intelligence for Improved Patient Outcomes

  • Daniel W. Byrne
Publisher:Lippincott Williams & WilkinsISBN 13: 9781975197940ISBN 10: 1975197941

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Artificial Intelligence for Improved Patient Outcomes is written by Daniel W. Byrne and published by Lippincott Williams & Wilkins. It's available with International Standard Book Number or ISBN identification 1975197941 (ISBN 10) and 9781975197940 (ISBN 13).

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.