Heather Mattie

Artificial intelligence and algorithmic bias: implications for health systems

2019 · 489 Zit. · Journal of Global Health

The “inconvenient truth” about AI in healthcare

2019 · 465 Zit. · npj Digital Medicine

A distributed approach to the regulation of clinical AI

2022 · 38 Zit. · PLOS Digital Health

“Yes, but will it work for my patients?” Driving clinically relevant research with benchmark datasets

2020 · 19 Zit. · npj Digital Medicine

Turning the crank for machine learning: ease, at what expense?

2019 · 17 Zit. · The Lancet Digital Health

Traditional Machine Learning Methods versus Deep Learning for Meningioma Classification, Grading, Outcome Prediction, and Segmentation: A Systematic Review and Meta-Analysis

2023 · 13 Zit. · World Neurosurgery

The "inconvenient truth" about AI in healthcare

2019 · 12 Zit. · Nature

An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research

2021 · 5 Zit. · medRxiv

Addressing the “elephant in the room” of AI clinical decision support through organisation-level regulation

2022 · 4 Zit. · PLOS Digital Health

Non-interpretive Application of Artificial Intelligence in Radiology: Population Health

2025 · 0 Zit. · Elsevier eBooks

Red Teaming for Generative AI, Report on a Copyright-Focused Exercise Completed in an Academic Medical Center

2025 · 0 Zit. · ArXiv.org