Quantifying the impact of AI recommendations with explanations on prescription decision making von Nagendran, Myura, Festor, Paul, Komorowski, Matthieu, Gordon, Anthony C., Faisal, Aldo A.

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Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment von Festor, Paul, Jia, Yan, Gordon, Anthony C, Faisal, A Aldo, Habli, Ibrahim, Komorowski, Matthieu

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Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendations von Nagendran, Myura, Festor, Paul, Komorowski, Matthieu, Gordon, Anthony C., Faisal, Aldo A.

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Can Machine Learning Personalize Cardiovascular Therapy in Sepsis? von Catling, Finneas J R, Nagendran, Myura, Festor, Paul, Bien, Zuzanna, Harris, Steve, Faisal, A Aldo, Gordon, Anthony C, Komorowski, Matthieu

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Deep learning human action intention classification from natural eye movement patterns von Shafti, Ali, Festor, Paul, Orlov, Pavel, Li, Mickey, Faisal, A. Aldo

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Levels of Autonomy and Safety Assurance for AI-Based Clinical Decision Systems von Festor, Paul, Habli, Ibrahim, Jia, Yan, Gordon, Anthony, Faisal, A. Aldo, Komorowski, Matthieu

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Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop von Kohler, Hector, Delfosse, Quentin, Festor, Paul, Preux, Philippe

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Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition von Festor, Paul, Luise, Giulia, Komorowski, Matthieu, Faisal, A. Aldo

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Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment von Festor, Paul, Jia, Yan, Gordon, Anthony, Faisal, Aldo, Habli, Ibrahim, Komorowski, Matthieu

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MIDAS: Deep learning human action intention prediction from natural eye movement patterns von Festor, Paul, Shafti, Ali, Harston, Alex, Li, Michey, Orlov, Pavel, Faisal, A. Aldo

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Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop von Kohler, Hector, Delfosse, Quentin, Festor, Paul, Preux, Philippe

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Levels of Autonomy and Safety Assurance for AI-based Clinical Decision Systems von Festor, Paul, Habli, Ibrahim, Jia, Yan, Gordon, Anthony, Faisal, Aldo, Komorowski, Matthieu

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Clinical evaluation framework using behavioural & visual attention read-outs for explainable AI (XAI) von Nagendran, Myura, Festor, Paul, Komorowski, Matthieu, Gordon, Anthony C, Faisal, Aldo A

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Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition von Festor, Paul, Luise, Giulia, Komorowski, Matthieu, Faisal, A Aldo

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Quantifying the impact of AI recommendations with explanations on prescription decisions: an interactive 3 vignette study (data & code) von Nagendran, Myura, Festor, Paul, Komorowski, Matthieu, Gordon, Anthony C., Faisal, Aldo

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MIDAS: Deep learning human action intention prediction from natural eye movement patterns von Festor, Paul, Shafti, Ali, Harston, Alex, Li, Michey, Orlov, Pavel, Faisal, A Aldo

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Improvement of nonviral p53 gene transfer in human carcinoma cells using glucosylated polyethylenimine derivatives von Merlin, J L, Dolivet, G, Dubessy, C, Festor, E, Parache, R M, Verneuil, L, Erbacher, P, Behr, J P, Guillemin, F

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