Elizabeth Sapey

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

Road map for clinicians to develop and evaluate AI predictive models to inform clinical decision-making

2023 · 43 Zit. · BMJ Health & Care Informatics

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

2024 · 13 Zit. · NEJM AI

Rapid adaptation of a local healthcare digital system to COVID-19: The experience in Birmingham (UK)

2021 · 4 Zit. · Health Policy and Technology

Developing an AI-predictive model for predicting the likelihood of post-operative infection in surgical patients

2023 · 3 Zit. · International Journal of Pharmacy Practice

Testing federated analytics across secure data environments using differing statistical approaches on cross-disciplinary data

2024 · 0 Zit. · medRxiv