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Author

Andrew A. S. Soltan

Observed names: Andrew A S Soltan, Andrew A.S. Soltan, Andrew Soltan, Soltan, Andrew, Soltan, Andrew A. S.
Observed institutions: Guy's and St Thomas' NHS Foundation Trust, University of Cambridge, Stoke Mandeville Hospital, John Radcliffe Hospital, University of Oxford, Oxford University Hospitals NHS Trust
ORCID: 0000-0003-2391-5361
Observed ORCID: 0000-0003-2391-5361
OpenAlex ID: A5023184985
Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening
2022 · Jenny Yang, Andrew A. S. Soltan, et al. · npj Digital Medicine · 210
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An adversarial training framework for mitigating algorithmic biases in clinical machine learning
2023 · Jenny Yang, Andrew A. S. Soltan, et al. · npj Digital Medicine · 203
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Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning
2023 · Jenny Yang, Andrew A. S. Soltan, et al. · Nature Machine Intelligence · 164
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Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test
2020 · Andrew A S Soltan, Samaneh Kouchaki, et al. · The Lancet Digital Health · 155
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Generalizability assessment of AI models across hospitals in a low-middle and high income country
2024 · Jenny Yang, Nguyen Thanh Dung, et al. · Nature Communications · 124
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High-performance automated abstract screening with large language model ensembles
2025 · Rohan Sanghera, Arun James Thirunavukarasu, et al. · Journal of the American Medical Informatics Association · 76
Deep reinforcement learning for multi-class imbalanced training: applications in healthcare
2023 · Jenny Yang, Rasheed El-Bouri, et al. · Machine Learning · 68
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Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening
2022 · Andrew A S Soltan, Jenny Yang, et al. · The Lancet Digital Health · 59
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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
2024 · Andrew A S Soltan, Anshul Thakur, et al. · The Lancet Digital Health · 54
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Mitigating machine learning bias between high income and low–middle income countries for enhanced model fairness and generalizability
2024 · Jenny Yang, Lei Clifton, et al. · Scientific Reports · 41
Entrainment to the CIECAM02 and CIELAB colour appearance models in the human cortex
2018 · Andrew Thwaites, Cai Wingfield, et al. · Vision Research · 28
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Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare
2024 · Anshul Thakur, Soheila Molaei, et al. · npj Digital Medicine · 20
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Development and validation of early warning score systems for COVID‐19 patients
2021 · Alexey Youssef, Samaneh Kouchaki, et al. · Healthcare Technology Letters · 19
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Addressing label noise for electronic health records: insights from computer vision for tabular data
2024 · Jenny Yang, Hagen Triendl, et al. · BMC Medical Informatics and Decision Making · 17
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Privacy-Aware Early Detection of COVID-19 Through Adversarial Training
2022 · Omid Rohanian, Samaneh Kouchaki, et al. · IEEE Journal of Biomedical and Health Informatics · 12
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Benchmarking transformer-based models for medical record de-identification in a single center multi-specialty evaluation
2025 · Rachel Kuo, Andrew A.S. Soltan, et al. · iScience · 7
Algorithmic Fairness and Bias Mitigation for Clinical Machine Learning: A New Utility for Deep Reinforcement Learning
2022 · Jenny Yang, Andrew A. S. Soltan, et al. · medRxiv · 7
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Tracking cortical entrainment to stages of optic-flow processing
2024 · Cai Wingfield, Andrew Soltan, et al. · Vision Research · 5
The difficult legacy of Turing’s wager
2017 · Andrew Thwaites, Andrew Soltan, et al. · Journal of Computational Neuroscience · 4
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Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling Under Data-View Heterogeneity
2025 · Soheila Molaei, Anshul Thakur, et al. · IEEE Journal of Biomedical and Health Informatics · 3
Ethics Review of AI research: An approach to reviewing and revising existing governance structures
2025 · Angeliki Kerasidou, Karen Melham, et al. · Research Ethics · 2
Geometrically-aggregated training samples: Leveraging summary statistics to enable healthcare data democratization
2023 · Jenny Yang, Anshul Thakur, et al. · medRxiv · 2
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Comparative evaluation of large-language models and purpose-built software for medical record de-identification
2024 · Rachel Kuo, Andrew Soltan, et al. · Research Square · 1
Measurement datasets 1-3.01 for the “Kymata Atlas”
2016 · Thwaites, Andrew, Nimmo-Smith, Ian, et al. · Apollo (University of Cambridge) · 1
Are Large Language Models amplifying bias in medical science? (Preprint)
2026 · Hajira Dambha-Miller, Heidi Smith, et al.
Works count: 38
Citation count: 1,282
H-index: 14
I10-index: 15
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