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Paul Festor
Paul Festor
Verified email at imperial.ac.uk
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Cited by
Cited by
Year
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
242022
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
102021
Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition
P Festor, G Luise, M Komorowski, AA Faisal
IMLH - ICML 2021, 2021
92021
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
72022
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
52023
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
12023
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
12023
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
12023
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
12021
Artificial Intelligence and Social Computing, Vol. 122, 2024, 198–207 AHFE
M Micoccič, H Kettley-Linsellč, SS Zhouč, P Festor, S Borscič, ...
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, PGRE Festor, M Komorowski, AC Gordon, AAA Faisal
Available at SSRN 4496127, 0
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