Fiona J. Gilbert

Federated learning for predicting clinical outcomes in patients with COVID-19

2021 · 657 Zit. · Nature Medicine

Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations

2021 · 103 Zit. · British Journal of Cancer

Research Misconduct

2003 · 49 Zit. · Clinical Radiology

Federated Learning used for predicting outcomes in SARS-COV-2 patients

2021 · 44 Zit.

Addendum: International evaluation of an AI system for breast cancer screening

2020 · 36 Zit. · Nature

Artificial intelligence in clinical imaging: a health system approach

2019 · 26 Zit. · Clinical Radiology

Overview of trials on artificial intelligence algorithms in breast cancer screening – A roadmap for international evaluation and implementation

2023 · 25 Zit. · European Journal of Radiology

Accuracy of an Artificial Intelligence System for Interval Breast Cancer Detection at Screening Mammography

2024 · 18 Zit. · Radiology

Strategies for integrating artificial intelligence into mammography screening programmes: a retrospective simulation analysis

2024 · 15 Zit. · The Lancet Digital Health

Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes

2023 · 11 Zit. · Health Informatics Journal

Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-alone Readers and Combined with Human Readers

2024 · 7 Zit. · Radiology

Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging

2025 · 6 Zit. · Communications Medicine

Balancing human and AI roles in clinical imaging

2023 · 5 Zit. · Nature Medicine

Deploying AI in radiology

2025 · 0 Zit. · Clinical Radiology

Patient and public perceptions of ethical and equitability challenges associated with breast cancer screening and the proposed introduction of Artificial Intelligence (AI) based mammographic screening tools

2025 · 0 Zit. · European Journal of Surgical Oncology