Generalizability assessment of AI models across hospitals in a low-middle and high income country
Yang, Jenny, Dung, Nguyen Thanh, Thach, Pham Ngoc, Phong, Nguyen Thanh, Phu, Vu Dinh, Phu, Khiem Dong, Yen, Lam Minh, Thy, Doan Bui Xuan, Soltan, Andrew A S, Thwaites, Louise, Clifton, David A
Published in Nature communications (27.09.2024)
Published in Nature communications (27.09.2024)
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Mitigating machine learning bias between high income and low-middle income countries for enhanced model fairness and generalizability
Yang, Jenny, Clifton, Lei, Dung, Nguyen Thanh, Phong, Nguyen Thanh, Yen, Lam Minh, Thy, Doan Bui Xuan, Soltan, Andrew A S, Thwaites, Louise, Clifton, David A
Published in Scientific reports (10.06.2024)
Published in Scientific reports (10.06.2024)
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An adversarial training framework for mitigating algorithmic biases in clinical machine learning
Yang, Jenny, Soltan, Andrew A S, Eyre, David W, Yang, Yang, Clifton, David A
Published in NPJ digital medicine (29.03.2023)
Published in NPJ digital medicine (29.03.2023)
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Deep reinforcement learning for multi-class imbalanced training: applications in healthcare
Yang, Jenny, El-Bouri, Rasheed, O’Donoghue, Odhran, Lachapelle, Alexander S., Soltan, Andrew A. S., Eyre, David W., Lu, Lei, Clifton, David A.
Published in Machine learning (01.05.2024)
Published in Machine learning (01.05.2024)
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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
Soltan, Andrew A S, Yang, Jenny, Pattanshetty, Ravi, Novak, Alex, Yang, Yang, Rohanian, Omid, Beer, Sally, Soltan, Marina A, Thickett, David R, Fairhead, Rory, Zhu, Tingting, Eyre, David W, Clifton, David A, Watson, Adam, Bhargav, Akshay, Tough, Alex, Rogers, Alice, Shaikh, Ayisha, Valensise, Carolina, Lee, Charlotte, Otasowie, Claire, Metcalfe, David, Agarwal, Ekta, Zareh, Elham, Thangaraj, Evelyn, Pickles, Florence, Kelly, Gabriella, Tadikamalla, Gayatri, Shaw, George, Tong, Heather, Davies, Hettie, Bahra, Jasdeep, Morgan, Jessica, Wilson, Joe, Cutteridge, Joseph, O'Byrne, Katherine, Farache Trajano, Luiza, Oliver, Madeleine, Pikoula, Maria, Mendoza, Maya, Keevil, Melissa, Faisal, Muhammad, Dole, Natasha, Deal, Oscar, Conway-Jones, Rebecca, Sattar, Shajeel, Kundoor, Sneha, Shah, Sumaiyah, Muthusami, Vani
Published in The Lancet. Digital health (01.04.2022)
Published in The Lancet. Digital health (01.04.2022)
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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
Soltan, Andrew A S, Kouchaki, Samaneh, Zhu, Tingting, Kiyasseh, Dani, Taylor, Thomas, Hussain, Zaamin B, Peto, Tim, Brent, Andrew J, Eyre, David W, Clifton, David A
Published in The Lancet. Digital health (01.02.2021)
Published in The Lancet. Digital health (01.02.2021)
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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
Soltan, Andrew A S, Thakur, Anshul, Yang, Jenny, Chauhan, Anoop, D'Cruz, Leon G, Dickson, Phillip, Soltan, Marina A, Thickett, David R, Eyre, David W, Zhu, Tingting, Clifton, David A
Published in The Lancet. Digital health (01.02.2024)
Published in The Lancet. Digital health (01.02.2024)
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Deep Reinforcement Learning for Multi-class Imbalanced Training
Yang, Jenny, El-Bouri, Rasheed, O'Donoghue, Odhran, Lachapelle, Alexander S, Soltan, Andrew A. S, Clifton, David A
Year of Publication 24.05.2022
Year of Publication 24.05.2022
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