Artificial intelligence can improve decision-making in infection management
File(s)NatureHB_Submission_Final.docx (47.95 KB)
Accepted version
Author(s)
Rawson, Timothy Miles
Ahmad, Raheelah
Toumazou, christofer
Georgiou, pantelis
Holmes, alison
Type
Journal Article
Abstract
Antibiotic resistance is an emerging global danger. Reaching responsible prescribing decisions requires the integration of broad and complex information. Artificial intelligence tools could support decision-making at multiple levels, but building them needs a transparent co-development approach to ensure their adoption upon implementation.
Date Issued
2019-03-25
Date Acceptance
2019-03-17
Citation
Nature Human Behaviour, 2019, 3, pp.543-545
ISSN
2397-3374
Publisher
Nature Research
Start Page
543
End Page
545
Journal / Book Title
Nature Human Behaviour
Volume
3
Copyright Statement
© 2019 Springer Nature Publishing AG
Sponsor
National Institute for Health Research
National Institute for Health Research
ESRC
NIHR knowledge mobilisation fellowship
Grant Number
II-LA-0214-20008
II-LA-0214-20008
KMRF-2015 04 007
Subjects
Social Sciences
Science & Technology
Life Sciences & Biomedicine
Psychology, Biological
Multidisciplinary Sciences
Neurosciences
Psychology, Experimental
Psychology
Science & Technology - Other Topics
Neurosciences & Neurology
PREDICTION
SUPPORT
Publication Status
Published
Date Publish Online
2019-03-25