| Guidance on the assurance of machine learning in autonomous systems (AMLAS) R Hawkins, C Paterson, C Picardi, Y Jia, R Calinescu, I Habli arXiv preprint arXiv:2102.01564, 2021 | 122 | 2021 |
| Artificial intelligence explainability: the technical and ethical dimensions JA McDermid, Y Jia, Z Porter, I Habli Philosophical Transactions of the Royal Society A 379 (2207), 20200363, 2021 | 117 | 2021 |
| The role of explainability in assuring safety of machine learning in healthcare Y Jia, J McDermid, T Lawton, I Habli IEEE Transactions on Emerging Topics in Computing, 2022 | 74 | 2022 |
| Prediction of weaning from mechanical ventilation using convolutional neural networks Y Jia, C Kaul, T Lawton, R Murray-Smith, I Habli Artificial intelligence in medicine 117, 102087, 2021 | 69 | 2021 |
| Towards a framework for safety assurance of autonomous systems JA McDermid, Y Jia, I Habli Artificial Intelligence Safety 2019, 1-7, 2019 | 53 | 2019 |
| Safe reinforcement learning for sepsis treatment Y Jia, J Burden, T Lawton, I Habli 2020 IEEE International conference on healthcare informatics (ICHI), 1-7, 2020 | 33 | 2020 |
| Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment P Festor, Y Jia, AC Gordon, AA Faisal, I Habli, M Komorowski BMJ health & care informatics 29 (1), e100549, 2022 | 26 | 2022 |
| Safety-driven design of machine learning for sepsis treatment Y Jia, T Lawton, J Burden, J McDermid, I Habli Journal of Biomedical Informatics 117, 103762, 2021 | 18 | 2021 |
| Levels of autonomy and safety assurance for AI-Based clinical decision systems P Festor, I Habli, Y Jia, A Gordon, AA Faisal, M Komorowski Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops: DECSoS …, 2021 | 14 | 2021 |
| A framework for assurance of medication safety using machine learning Y Jia, T Lawton, J McDermid, E Rojas, I Habli arXiv preprint arXiv:2101.05620, 2021 | 12 | 2021 |
| Clinicians risk becoming ‘liability sinks’ for artificial intelligence T Lawton, P Morgan, Z Porter, S Hickey, A Cunningham, N Hughes, ... Future Healthcare Journal 11 (1), 100007, 2024 | 10 | 2024 |
| Enhancing the value of counterfactual explanations for deep learning Y Jia, J McDermid, I Habli International conference on artificial intelligence in medicine, 389-394, 2021 | 10 | 2021 |
| Development and piloting of a software tool to facilitate proactive hazard and risk analysis of Health Information Technology I Habli, Y Jia, S White, G Gabriel, T Lawton, M Sujan, C Tomsett Health informatics journal 26 (1), 683-702, 2020 | 10 | 2020 |
| The need for the human-centred explanation for ML-based clinical decision support systems Y Jia, J McDermid, N Hughes, M Sujan, T Lawton, I Habli 2023 IEEE 11th international conference on healthcare informatics (ICHI …, 2023 | 9 | 2023 |
| Safety of Artificial Intelligence: A Collaborative Model. JA McDermid, Y Jia AISafety@ IJCAI, 2020 | 7 | 2020 |
| Developing a safety case for electronic prescribing Y Jia, T Lawton, S White, I Habli MEDINFO 2019: Health and Wellbeing e-Networks for All, 629-633, 2019 | 7 | 2019 |
| Improving medication safety using machine learning Y Jia AIME 2019, 2019 | 4 | 2019 |
| Contextual design requirements for decision-support tools involved in weaning patients from mechanical ventilation in intensive care units N Hughes, Y Jia, M Sujan, T Lawton, I Habli, J McDermid Applied ergonomics 118, 104275, 2024 | 3 | 2024 |
| The safety of autonomy: A systematic approach JA McDermid, R Calinescu, I Habli, R Hawkins, Y Jia, J Molloy, ... Computer 57 (4), 16-25, 2024 | 3 | 2024 |
| Development and translation of human-AI interaction models into working prototypes for clinical decision-making M Hussain, I Iacovides, T Lawton, V Sharma, Z Porter, A Cunningham, ... Proceedings of the 2024 ACM Designing Interactive Systems Conference, 1607-1619, 2024 | | 2024 |