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Publications

Overcoming barriers to single-cell RNA sequencing adoption in low- and middle-income countries.

Boakye Serebour T. et al, (2024), Eur J Hum Genet

AI-driven decision support systems and epistemic reliance: a qualitative study on obstetricians' and midwives' perspectives on integrating AI-driven CTG into clinical decision making.

Dlugatch R. et al, (2024), BMC Med Ethics, 25

Correction to: Data-driven research and healthcare: public trust, data governance and the NHS.

Kerasidou A. and Kerasidou CX., (2023), BMC Med Ethics, 24

Data-driven research and healthcare: public trust, data governance and the NHS.

Kerasidou A. and Kerasidou CX., (2023), BMC Med Ethics, 24

Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care.

Dlugatch R. et al, (2023), BMC Med Ethics, 24

A practical checklist for return of results from genomic research in the European context.

Vears DF. et al, (2023), Eur J Hum Genet, 31, 687 - 695

Democratising or disrupting diagnosis? Ethical issues raised by the use of AI tools for rare disease diagnosis.

Hallowell N. et al, (2023), SSM Qual Res Health, 3

The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions.

Sauerbrei A. et al, (2023), BMC Med Inform Decis Mak, 23

Democratising or disrupting diagnosis? Ethical issues raised by the use of AI tools for rare disease diagnosis

HALLOWELL N. et al, (2023), Social Science & Medicine Qualitative Research in Health

Managing expectations, rights, and duties in large-scale genomics initiatives: a European comparison.

Horn R. et al, (2023), Eur J Hum Genet, 31, 142 - 147

"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.

Hallowell N. et al, (2022), BMC Med Ethics, 23

Before and beyond trust: reliance in medical AI.

Kerasidou CX. et al, (2022), J Med Ethics, 48, 852 - 856

Resource allocation in genetic and genomic medicine.

Buchanan J. et al, (2022), J Community Genet, 13, 463 - 466

AIgorithmic Ethics: A Technically Sweet Solution to a Non-Problem.

Sauerbrei A. et al, (2022), Am J Bioeth, 22, 28 - 30

Pursuing impact in research: towards an ethical approach.

Bærøe K. et al, (2022), BMC Med Ethics, 23

Return of results from genomic research: a practical tool

Vears D. et al, (2022)

Ethics of artificial intelligence in global health: Explainability, algorithmic bias and trust

Kerasidou A., (2021), Journal of Oral Biology and Craniofacial Research, 11, 612 - 614

Taking it to the bank: the ethical management of individual findings arising in secondary research.

Graham M. et al, (2021), J Med Ethics, 47, 689 - 696

Trustworthy institutions in global health research collaborations

KERASIDOU A., (2021), The Cambridge Handbook of Health Research Regulation, 81 - 89

The ethics of genomic medicine: redefining values and norms in the UK and France.

Gaille M. et al, (2021), Eur J Hum Genet, 29, 780 - 788

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