Maxine Mackintosh

Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency

2020 · 317 Zit. · npj Digital Medicine

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

2024 · 105 Zit. · The Lancet Digital Health

Considering Biased Data as Informative Artifacts in AI-Assisted Health Care

2023 · 104 Zit. · New England Journal of Medicine

Tackling bias in AI health datasets through the STANDING Together initiative

2022 · 80 Zit. · Nature Medicine

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

Diversity and Inclusion Within Datasets in Heart Failure

2025 · 2 Zit. · JACC Advances

Building The Health Chatbot Users’ Guide

2026 · 1 Zit. · Nature Health

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