Article-Journal

The impact of artificial intelligence-driven decision support on uncertain antimicrobial prescribing: a randomised, multimethod study
A randomised, multimethod study with 42 UK clinicians evaluating how an AI clinical decision support system for intravenous-to-oral antibiotic switching influences prescribing decisions, and how clinicians perceive it. The final paper from my PhD.
William Bolton, Richard Wilson, Mark Gilchrist, Pantelis Georgiou, Alison Holmes, Timothy Rawson
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The impact of artificial intelligence-driven decision support on uncertain antimicrobial prescribing: a randomised, multimethod study
Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning
Fair and interpretable machine learning models for individualised antimicrobial stewardship decision-making.
William Bolton, Richard Wilson, Mark Gilchrist, Pantelis Georgiou, Alison Holmes, Timothy Rawson
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Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning
Developing moral AI to support decision-making about antimicrobial use
The use of decision-support systems based on artificial intelligence approaches in antimicrobial prescribing raises important moral …
William Bolton, Cosmin Badea, Pantelis Georgiou, Alison Holmes, Timothy Rawson
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Developing moral AI to support decision-making about antimicrobial use
Machine learning and synthetic outcome estimation for individualised antimicrobial cessation
A novel recurrent autoencoder and synthetic control model to estimate patient counterfactuals under antibiotic temporality.
William Bolton, Timothy Rawson, Bernard Hernandez, Richard Wilson, David Antcliffe, Pantelis Georgiou, Alison Holmes
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Machine learning and synthetic outcome estimation for individualised antimicrobial cessation