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Search results (50)

« Back to Publications

Mitigating algorithmic unfairness arising from forgetfulness of medical records in clinical artificial intelligence.

Chen Y. et al, (2026), Nat Commun

Democratising clinical AI through dataset condensation for classical clinical models

Thakur A. et al, (2026)

Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling

Molaei S. et al, (2026), Proceedings of the Aaai Conference on Artificial Intelligence, 40, 24422 - 24430

Benchmarking transformer-based models for medical record de-identification in a single center multi-specialty evaluation

Kuo R. et al, (2025), Iscience, 28

DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research

Aslett LJM. et al, (2025), Data, 10

High-performance automated abstract screening with large language model ensembles

Sanghera R. et al, (2025), Journal of the American Medical Informatics Association, 32, 893 - 904

Ethics Review of AI research: An approach to reviewing and revising existing governance structures

Kerasidou A. et al, (2025), Research Ethics

Tracking cortical entrainment to stages of optic-flow processing

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

Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling under Data-View Heterogeneity

Molaei S. et al, (2025), IEEE Journal of Biomedical and Health Informatics

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

Kuo R. et al, (2025)

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

Yang J. et al, (2024), Scientific Reports, 14

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

Thakur A. et al, (2024), npj Digital Medicine, 7

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

Yang J. et al, (2024), BMC Medical Informatics and Decision Making, 24

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

Yang J. et al, (2024), Nature Communications, 15

Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare (npj Digital Medicine, (2024), 7, 1, (283), 10.1038/s41746-024-01272-9)

Thakur A. et al, (2024), npj Digital Medicine, 7

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