Elinor Laws

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

2023 · 259 Zit. · Nature Medicine

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

2024 · 105 Zit. · The Lancet Digital Health

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

2024 · 13 Zit. · NEJM AI

Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review

2024 · 11 Zit. · Clinical Imaging

Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review

2024 · 11 Zit. · The Lancet Digital Health

A Global Health Data Divide

2024 · 2 Zit. · NEJM AI

Diversity and Inclusion Within Datasets in Heart Failure

2025 · 2 Zit. · JACC Advances

Data Fit for Health Equity: Learning Health Systems, <scp>AI</scp> , and the <scp>STANDING</scp> Together Recommendations

2025 · 0 Zit. · Learning Health Systems

Corrigendum to “Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review” [Clin Imaging 118 (2025) 110369]

2025 · 0 Zit. · Clinical Imaging

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

2024 · 0 Zit. · Nature Medicine