| Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment P Festor, Y Jia, A Gordon, A Faisal, I Habli, M Komorowski BMJ Health and Care Informatics 29 (1), 2022 | 25 | 2022 |
| 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 | 12 | 2021 |
| Quantifying the impact of AI recommendations with explanations on prescription decision making M Nagendran, P Festor, M Komorowski, AC Gordon, AA Faisal NPJ Digital Medicine 6 (1), 206, 2023 | 11 | 2023 |
| Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition P Festor*, G Luise*, M Komorowski, AA Faisal IMLH - ICML 2021, 2021 | 10 | 2021 |
| MIDAS: Deep learning human action intention prediction from natural eye movement patterns P Festor*, A Shafti*, A Harston, M Li, P Orlov, AA Faisal arXiv preprint arXiv:2201.09135, 2022 | 8 | 2022 |
| Data-driven decision support for individualised cardiovascular resuscitation in sepsis: a scoping review and primer for clinicians FJR Catling, M Nagendran, P Festor, Z Bien, S Harris, AA Faisal, ... medRxiv, 2023.08. 26.23294666, 2023 | 1 | 2023 |
| Quantifying the impact of AI recommendations with explanations on prescription decision making: an interactive vignette study M Nagendran, P Festor, M Komorowski, A Gordon, A Faisal | 1 | 2023 |
| Evaluating the Human Safety Net: Observational study of Physician Responses to Unsafe AI Recommendations in high-fidelity Simulation P Festor*, M Nagendran*, AC Gordon, AA Faisal, M Komorowski medRxiv, 2023.10. 03.23296437, 2023 | 1 | 2023 |
| Deep learning human action intention classification from natural eye movement patterns A Shafti*, P Festor*, P Orlov, M Li, AA Faisal Journal of Vision 21 (9), 2715-2715, 2021 | 1 | 2021 |
| Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendations M Nagendran*, P Festor*, M Komorowski, AC Gordon, AA Faisal npj Digital Medicine 7 (1), 202, 2024 | | 2024 |
| Artificial Intelligence and Social Computing, Vol. 122, 2024, 198–207 AHFE M Micocci¹, H Kettley-Linsell¹, SS Zhou¹, P Festor, S Borsci¹, ... Artificial Intelligence and Social Computing, 198, 2024 | | 2024 |
| Can Machine Learning Personalize Cardiovascular Therapy in Sepsis? FJR Catling, M Nagendran, P Festor, Z Bien, S Harris, AA Faisal, ... Critical Care Explorations 6 (5), e1087, 2024 | | 2024 |
| Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop H Kohler, Q Delfosse, P Festor, P Preux arXiv preprint arXiv:2404.10906, 2024 | | 2024 |
| Exploring the Integration of AI in Sepsis Management: A Pilot Study on Clinician Acceptance and Decision-Making in ICU Settings M Micocci, H Kettley-Linsell, S Zhou, P Festor, S Borsci, M Komorowski, ... AHFE 15th International Conference on Applied Human Factors and Ergonomics 2024, 2024 | | 2024 |
| Evaluating the impact of explainable RL on physician decision-making in high-fidelity simulations: insights from eye-tracking metrics P Festor, M Nagendran, M Komorowski, AA Faisal Workshop on Interpretable Policies in Reinforcement Learning@ RLC-2024, 0 | | |
| Eye-tracking of clinician behaviour with explainable AI decision support: a high-fidelity simulation study M Nagendran*, P Festor*, M Komorowski, A Gordon, AA Faisal ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 0 | | |
| Interaction of doctors with explainable RL decision support via behavioural readouts of eye-tracking M Nagendran*, P Festor*, M Komorowski, AC Gordon, AA Faisal Sixteenth European Workshop on Reinforcement Learning, 0 | | |
| Clinical Evaluation Framework Using Behavioural & Visual Attention Read-Outs for Explainable AI (XAI) M Nagendran*, P Festor*, M Komorowski, AC Gordon, AAA Faisal Available at SSRN 4496127, 0 | | |