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Publications

Benchmarking transformer-based models for medical record deidentification: A single centre, multi-specialty evaluation

Kuo R. et al, (2025)

High-performance automated abstract screening with large language model ensembles

Sanghera R. et al, (2025), Journal of the American Medical Informatics Association : JAMIA

Tracking cortical entrainment to stages of optic-flow processing.

Wingfield C. et al, (2025), Vision Res, 226

Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.

Thakur A. et al, (2024), NPJ Digit Med, 7

Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.

Thakur A. et al, (2024), NPJ Digit Med, 7

Comparative evaluation of large-language models and purpose-built software for medical record de-identification

Kuo R. et al, (2024)

Generalizability assessment of AI models across hospitals in a low-middle and high income country.

Yang J. et al, (2024), Nat Commun, 15

Addressing label noise for electronic health records: insights from computer vision for tabular data.

Yang J. et al, (2024), BMC Med Inform Decis Mak, 24

From data to diagnosis: skin cancer image datasets for artificial intelligence.

Wen D. et al, (2024), Clin Exp Dermatol, 49, 675 - 685

Mitigating machine learning bias between high income and low-middle income countries for enhanced model fairness and generalizability.

Yang J. et al, (2024), Sci Rep, 14

Mitigating Machine Learning Bias Between High Income and Low-Middle Income Countries for Enhanced Model Fairness and Generalizability

Yang J. et al, (2024)

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.

Soltan AAS. et al, (2024), Lancet Digit Health, 6, e93 - e104

Deep reinforcement learning for multi-class imbalanced training: applications in healthcare.

Yang J. et al, (2024), Mach Learn, 113, 2655 - 2674

Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks

Molaei S. et al, (2024), Proceedings of Machine Learning Research, 238, 1342 - 1350

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

YANG J. et al, (2023), Nature Machine Intelligence

Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening

YANG J. et al, (2023), npj Digital Medicine

Generalizability Assessment of AI Models Across Hospitals: A Comparative Study in Low-Middle Income and High Income Countries

Yang J. et al, (2023)

Specialty referrals simulation: an educational initiative for final year medical students.

Anderson C. et al, (2023), Future Healthc J, 10

Geometrically-aggregated training samples: Leveraging summary statistics to enable healthcare data democratization

Yang J. et al, (2023)

Addressing Label Noise for Electronic Health Records: Insights from Computer Vision for Tabular Data

Yang J. et al, (2023)

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