Fiona J. Gilbert

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

2021 · 691 Zit. · Nature Medicine

Evidence-based radiology: why and how?

2009 · 106 Zit. · European Radiology

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

2021 · 105 Zit. · British Journal of Cancer

Improving Workflow Efficiency for Mammography Using Machine Learning

2019 · 85 Zit. · Journal of the American College of Radiology

Research Misconduct

2003 · 49 Zit. · Clinical Radiology

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

2021 · 44 Zit. · Research Square

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

2020 · 39 Zit. · Nature

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

2023 · 27 Zit. · European Journal of Radiology

Artificial intelligence in clinical imaging: a health system approach

2019 · 26 Zit. · Clinical Radiology

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

2024 · 23 Zit. · Radiology

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

2024 · 18 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 · 10 Zit. · Radiology

Balancing human and AI roles in clinical imaging

2023 · 5 Zit. · Nature Medicine

Diagnostic accuracy, fairness and clinical implementation of AI for breast cancer screening: results of multicenter retrospective and prospective technical feasibility studies

2026 · 4 Zit. · Nature Cancer