I am a researcher at the Ethox Centre, Nuffield Department of Population Health, and a Junior Research Fellow at Worcester College, University of Oxford. I am also a UKRI AI Metascience Fellow.

My research sits at the intersection of ethics, artificial intelligence, and population health. I work on how AI is reshaping biomedical research and medical practice, and on the tension between the pursuit of efficiency in healthcare systems and relational values such as empathy, trust, and shared decision-making.

I also offer consulting informed by this research.

Google Scholar · LinkedIn · aurelia.sauerbrei@dph.ox.ac.uk

Publications

Peer-reviewed articles

AI saves time—but for whom? A qualitative study of clinicians, AI developers and competing notions of efficiency in healthcare
A. Sauerbrei
JME Practical Bioethics, 2(2), e000104 (2026).

The impact of artificial intelligence on the person-centred, doctor-patient relationship: Some problems and solutions
A. Sauerbrei, A. Kerasidou, F. Lucivero & N. Hallowell
BMC Medical Informatics and Decision Making, 23(1), 73 (2023).

“I don’t think people are ready to trust these algorithms at face value”: Trust and the use of machine learning algorithms in the diagnosis of rare disease
N. Hallowell, S. Badger, A. Sauerbrei, C. Nellåker & A. Kerasidou
BMC Medical Ethics, 23(1), 112 (2022).

AIgorithmic ethics: A technically sweet solution to a non-problem
A. Sauerbrei, N. Hallowell & A. Kerasidou
The American Journal of Bioethics, 22(7), 28–30 (2022).

Working papers

The Efficient Doctor-Patient Relationship: A Framework for Relational Care and System Efficiency in AI-driven Healthcare

AI, confidence, and the doctor-patient relationship