Imperial College London
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Professor Pantelis Georgiou

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Biomedical Electronics
 
 
 
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Contact

 

+44 (0)20 7594 6326pantelis Website

 
 
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Location

 

902Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Rawson:2019:10.1038/s41562-019-0583-9,
author = {Rawson, TM and Ahmad, R and Toumazou, C and Georgiou, P and Holmes, A},
doi = {10.1038/s41562-019-0583-9},
journal = {Nature Human Behaviour},
pages = {543--545},
title = {Artificial intelligence can improve decision-making in infection management},
url = {http://dx.doi.org/10.1038/s41562-019-0583-9},
volume = {3},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Rawson,TM
AU  - Ahmad,R
AU  - Toumazou,C
AU  - Georgiou,P
AU  - Holmes,A
DO  - 10.1038/s41562-019-0583-9
EP  - 545
PY  - 2019///
SN  - 2397-3374
SP  - 543
TI  - Artificial intelligence can improve decision-making in infection management
T2  - Nature Human Behaviour
UR  - http://dx.doi.org/10.1038/s41562-019-0583-9
UR  - http://hdl.handle.net/10044/1/69553
VL  - 3
ER  -
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