Francis McKay

The value of standards for health datasets in artificial intelligence-based applications

2023 · 243 Zit. · Nature Medicine

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

2024 · 93 Zit. · The Lancet Digital Health

Tackling bias in AI health datasets through the STANDING Together initiative

2022 · 79 Zit. · Nature Medicine

The ethical challenges of artificial intelligence‐driven digital pathology

2022 · 60 Zit. · The Journal of Pathology Clinical Research

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

2023 · 24 Zit. · SSM - Qualitative Research in Health

Artificial intelligence and medical research databases: ethical review by data access committees

2023 · 21 Zit. · BMC Medical Ethics

Understanding the ethical and legal considerations of Digital Pathology

2021 · 18 Zit. · The Journal of Pathology Clinical Research

Public governance of medical artificial intelligence research in the UK: an integrated multi-scale model

2022 · 14 Zit. · Research Involvement and Engagement

Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations

2024 · 13 Zit. · NEJM AI

Inalienable data: Ethical imaginaries of de-identified health data ownership

2023 · 10 Zit. · SSM - Qualitative Research in Health

Exploring bias risks in artificial intelligence and targeted medicines manufacturing

2024 · 9 Zit. · BMC Medical Ethics

Exploring patient and public participation in the STANDING Together initiative for AI in healthcare

2024 · 0 Zit. · Nature Medicine