Effy Vayena

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

2020 · 1.656 Zit. · BMC Medical Informatics and Decision Making

Machine learning in medicine: Addressing ethical challenges

2018 · 758 Zit. · PLoS Medicine

Considerations for ethics review of big data health research: A scoping review

2018 · 250 Zit. · PLoS ONE

The Challenges for Regulating Medical Use of ChatGPT and Other Large Language Models

2023 · 161 Zit. · JAMA

Navigating the EU AI Act: implications for regulated digital medical products

2024 · 115 Zit. · npj Digital Medicine

Ethics review of big data research: What should stay and what should be reformed?

2021 · 89 Zit. · BMC Medical Ethics

Decentralised clinical trials: ethical opportunities and challenges

2023 · 88 Zit. · The Lancet Digital Health

Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke

2023 · 86 Zit. · PLoS ONE

To do no harm — and the most good — with AI in health care

2024 · 69 Zit. · Nature Medicine

“Strictly Biomedical? Sketching the Ethics of the Big Data Ecosystem in Biomedicine”

2016 · 66 Zit. · Law, governance and technology series

<i>What Is Trust?</i> Ethics and Risk Governance in Precision Medicine and Predictive Analytics

2017 · 59 Zit. · OMICS A Journal of Integrative Biology

To Do No Harm — and the Most Good — with AI in Health Care

2024 · 56 Zit. · NEJM AI

Value from health data: European opportunity to catalyse progress in digital health

2021 · 49 Zit. · The Lancet

Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research

2024 · 43 Zit. · BMC Medical Ethics

Big Data, Biomedical Research, and Ethics Review: New Challenges for IRBs

2020 · 43 Zit. · Ethics & Human Research