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

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Title: Artificial Intelligence for Improved Patient Outcomes : Principles for Moving Forward with Rigorous Science
Description: 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.
Authors: Daniel W. Byrne
Resource Type: eBook.
Subjects: Precision medicine, Artificial intelligence--Medical applications
Categories: MEDICAL / Evidence-Based Medicine, MEDICAL / Diagnostic Imaging / General, MEDICAL / Health Care Delivery, MEDICAL / Health Risk Assessment, MEDICAL / Preventive Medicine
Database: eBook Collection (EBSCOhost)
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3869232
RelevancyScore: 1116
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1116.28857421875
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  Data: Artificial Intelligence for Improved Patient Outcomes : Principles for Moving Forward with Rigorous Science
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  Data: 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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RecordInfo BibRecord:
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    Classifications:
      – Code: 610.28563
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Precision medicine
        Type: general
      – SubjectFull: Artificial intelligence--Medical applications
        Type: general
    Titles:
      – TitleFull: Artificial Intelligence for Improved Patient Outcomes : Principles for Moving Forward with Rigorous Science
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            NameFull: Daniel W. Byrne
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2023
            – D: 23
              M: 04
              Type: profile
              Y: 2024
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              Value: 9781975197933
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              Value: 9781975197940
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