New Release
Artificial Intelligence for Improved Patient Outcomes
Principles for Moving Forward with Rigorous Science
Edition:
1
ISBN/ISSN:
9781975197933
Publication Date:
March 29, 2023
2023-03-29
9781975197933
Artificial Intelligence for Improved Patient Outcomes provides new, relevant, and practical information on what AI can do in healthcare and ...
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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.
Provides easy-to-understand explanations of the key concepts in using and evaluating AI in medicine.
Offers practical, actionable guidance on the mechanics and implementation of AI applications in medicine.
Shares career guidance on a successful future in AI in medicine.
Teaches the skills to evaluate AI tools and avoid being misled by the hype.
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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Edition1ISBN/ISSN9781975197933Product FormatPaperback BookTrim Size7 x 10Pages266Edition1Publication DateMarch 29, 2023Weight0.75
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- DANIEL W. BYRNE
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Contents
Preface vii
Acknowledgments ix
About the Author xiii
PART I: The Big Picture 1
CHAPTER I Overview—How Artificial Intelligence Will
Improve Health 3
CHAPTER 2 Randomization—The “Secret Sauce” 19
CHAPTER 3 Evaluation—The Facts Matter. Pseudo- Innovation vs
Real Innovation 37
CHAPTER 4 Synergy—Building a Successful Clinician- Computer
Collaboration 73
CHAPTER 5 Fairness—Addressing the Ethical, Regulatory,
and Privacy Issues 87
PART II: The Mechanics 99
CHAPTER 6 Modeling—An Overview of Predictive Modeling,
Neural Networks, and Deep Learning 101
CHAPTER 7 EHRs—Exporting, Cleaning, Managing Datasets,
and Integrating Models into the Electronic Health
Record 121
PART III: The Implementation 135
CHAPTER 8 R esistance—Understanding and Overcoming the
Resistance to AI, Randomization, and Change 137
CHAPTER 9 Execution—Increasing the Odds of Future Success 147
CHAPTER 10 Integration—Building a Learning Health Care
System With Pragmatic AI Trials 157
CHAPTER 11 Streamlining—Reducing Waste and Lowering
Costs in Health Care 165PART IV: The Specific Applications 171
CHAPTER 12 Complications—Predicting and Preventing
Hospital Complications 173
CHAPTER 13 Prevention—Identifying Diseases With Predictive
Models 183
CHAPTER 14 Precision Medicine—AI to Improve Health
Screenings and Treatments 189
CHAPTER 15 Drugs and Devices—Using AI to Improve
Pharmaceutical and Medical Device Development
and Applications 197
CHAPTER 16 Medical Literature—AI and Information Overload 203
CHAPTER 17 Imaging—Medical Imaging and Strategies for
Assessing Patient Impact 213
CHAPTER 18 Pandemics—Using AI Tools to Improve Health
Outcomes in a Pandemic 221
PART V: The Future 229
CHAPTER 19 Careers—How to Build a Career Around AI in
Medicine by Turning This Playbook Into a Reality 231
Index 249 -
Provides easy-to-understand explanations of the key concepts in using and evaluating AI in medicine.
Offers practical, actionable guidance on the mechanics and implementation of AI applications in medicine.
Shares career guidance on a successful future in AI in medicine.
Teaches the skills to evaluate AI tools and avoid being misled by the hype.
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.
Enrich Your eBook Reading Experience
Read directly on your preferred device(s), such as computer, tablet, or smartphone.
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