Artificial intelligence can improve decision-making in infection management

Timothy M. Rawson, Raheelah Ahmad, Christofer Toumazou, Pantelis Georgiou and Alison H. Holmes ()
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Timothy M. Rawson: Imperial College London
Raheelah Ahmad: Imperial College London
Christofer Toumazou: Imperial College London
Pantelis Georgiou: Imperial College London
Alison H. Holmes: Imperial College London

Nature Human Behaviour, 2019, vol. 3, issue 6, 543-545

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: 2019
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DOI: 10.1038/s41562-019-0583-9

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