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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Provides easy-to-understand explanations of the key concepts in using
and evaluating AI in medicine.
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Offers practical, actionable guidance on the mechanics and
implementation of AI applications in medicine.
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Shares career guidance on a successful future in AI in medicine.
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Teaches the skills to evaluate AI tools and avoid being misled by the
hype.
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For a wide audience of healthcare professionals impacted by Artificial
Intelligence in medicine, including physician-scientists, AI
developers, entrepreneurs, and healthcare leaders who need to evaluate
AI applications designed to improve safety, quality, and value for
their institutions.
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