David W. Eyre

An adversarial training framework for mitigating algorithmic biases in clinical machine learning

2023 · 133 Zit. · npj Digital Medicine

Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning

2023 · 103 Zit. · Nature Machine Intelligence

A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals

2024 · 35 Zit. · The Lancet Digital Health

Scalable federated learning for emergency care using low cost microcomputing: Real-world, privacy preserving development and evaluation of a COVID-19 screening test in UK hospitals

2023 · 6 Zit. · medRxiv

Real-world evaluation of AI-driven COVID-19 triage for emergency admissions: External validation & operational assessment of lab-free and high-throughput screening solutions

2021 · 3 Zit. · medRxiv

RadEval: A framework for radiology text evaluation

2025 · 2 Zit.

RapiD_AI: A framework for Rapidly Deployable AI for novel disease & pandemic preparedness

2022 · 1 Zit. · medRxiv

RapiD_AI: A framework for Rapidly Deployable AI for novel disease & pandemic preparedness

2022 · 0 Zit. · Research Square

Integrating at-scale health data into doctoral training (Preprint)

2023 · 0 Zit.

Letter: Generative AI Dual-Use Risks in Infectious Diseases: An Overlooked Challenge for Global Health

2025 · 0 Zit. · NEJM AI