Daniel Rueckert

Evaluation and mitigation of the limitations of large language models in clinical decision-making

2024 · 453 Zit. · Nature Medicine

End-to-end privacy preserving deep learning on multi-institutional medical imaging

2021 · 443 Zit. · Nature Machine Intelligence

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

2021 · 266 Zit. · npj Digital Medicine

Medical imaging deep learning with differential privacy

2021 · 146 Zit. · Scientific Reports

Reconciling privacy and accuracy in AI for medical imaging

2024 · 56 Zit. · Nature Machine Intelligence

Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network

2018 · 42 Zit. · Lecture notes in computer science

Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time

2021 · 38 Zit. · Prenatal Diagnosis

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

2023 · 38 Zit. · arXiv (Cornell University)

Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging

2024 · 34 Zit. · Communications Medicine

Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare

2020 · 28 Zit. · arXiv (Cornell University)

Evaluating and Mitigating Limitations of Large Language Models in Clinical Decision Making

2024 · 16 Zit. · medRxiv

Differentially private federated deep learning for multi-site medical image segmentation

2022 · 16 Zit. · Research Square

Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging

2023 · 12 Zit. · arXiv (Cornell University)

A Review of Causality for Learning Algorithms in Medical Image Analysis

2022 · 11 Zit. · The Journal of Machine Learning for Biomedical Imaging

The Use of Artificial Intelligence and Wearable Inertial Measurement Units in Medicine: Systematic Review

2024 · 10 Zit. · JMIR mhealth and uhealth