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NPJ Digital Medicine|June 7, 2022
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screeningJenny Yang, Andrew A S Soltan, David A Clifton
Nature Machine Intelligence|August 24, 2023
Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learningJenny Yang, Andrew A S Soltan, David W Eyre, et al.
BMC Medical Informatics and Decision Making|June 27, 2024
Addressing label noise for electronic health records: insights from computer vision for tabular dataJenny Yang, Hagen Triendl, Andrew A S Soltan, et al.
NPJ Digital Medicine|March 29, 2023
An adversarial training framework for mitigating algorithmic biases in clinical machine learningJenny Yang, Andrew A S Soltan, David W Eyre, et al.
Iscience|December 24, 2025
Benchmarking transformer-based models for medical record de-identification in a single center multi-specialty evaluationRachel Kuo, Andrew A S Soltan, Ciaran O'Hanlon, et al.
Nature Communications|May 4, 2026
Mitigating algorithmic unfairness arising from forgetfulness of medical records in clinical artificial intelligenceYixuan Chen, Anshul Thakur, Andrew A S Soltan, et al.
Machine Learning|May 6, 2024
Deep reinforcement learning for multi-class imbalanced training: applications in healthcareJenny Yang, Rasheed El-Bouri, Odhran O'Donoghue, et al.
Journal of the American Medical Informatics Association : JAMIA|March 22, 2025
High-performance automated abstract screening with large language model ensemblesRohan Sanghera, Arun James Thirunavukarasu, Marc El Khoury, et al.
The Lancet. Digital Health|January 29, 2021
Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening testAndrew A S Soltan, Samaneh Kouchaki, Tingting Zhu, et al.
Scientific Reports|June 10, 2024
Mitigating machine learning bias between high income and low-middle income countries for enhanced model fairness and generalizabilityJenny Yang, Lei Clifton, Nguyen Thanh Dung, et al.
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