Request Information
Artificial Intelligence for Improved Patient Outcomes
- Publication Year:
- 2023
- Edition:
- 1st
- Author:
- Byrne, Daniel W.
- Publisher:
- Lippincott Williams & Wilkins (LWW)
- ISBN:
- 978-1-97-519793-3
-
Description
-
Details
-
Also Recommended
Description
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.
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.
Details
- Platform:
- OvidSP
- Publisher:
- Lippincott Williams & Wilkins (LWW)
- Product Type:
- Book
- Author:
- Byrne, Daniel W.
- ISBN:
- 978-1-97-519793-3
- Specialty:
-
- Computer Science
- Language:
- English
- Edition:
- 1st
- Pages:
- 0
- Publication Year:
- 2023
- A Visual Guide to ECG Interpretation
- Alzheimer's Care Today
- AMED Allied and Complementary Medicine
- Glaucoma: Color Atlas & Synopsis of Clinical Ophthalmology
- JBI PACES
- JBJS Case Connector
- JBJS Essential Surgical Techniques
- Journal of Hospice & Palliative Nursing
- Journal of Hospital Medicine
- Journal of the American Society of Nephrology
- Liver Transplantation
- Mental Measurements Yearbook
- Movies and Mental Illness
- Mulholland and Greenfield's Surgery: Scientific Principles & Practice
- Neurology Clinical Practice
- Neuro-Ophthalmology - Color Atlas & Synopsis of Clinical Ophthalmology
- Operative Techniques in Orthopaedic Surgical Oncology
- Operative Techniques in Spine Surgery
- Orthopaedic Nursing
- Pharmacology Made Incredibly Easy!
- Psychiatric Interview, The
- Real Living with Multiple Sclerosis
- Retina: Color Atlas & Synopsis of Clinical Ophthalmology
- Surgical Exposures in Foot & Ankle Surgery: The Anatomic Approach
- Survey of Anesthesiology
- Techniques in Knee Surgery
- Techniques in Ophthalmology
- Topics in Clinical Nutrition
- Topics in Language Disorders
- Trauma Practice