Published in ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2027, 1900
In Preparation Ā· ACM FAccT 2027
Recommended citation: El-Mufti, N., Salim, M., & Kersten-Oertel, M.* (in preparation). Whose Values Matter? Ethical Pluralism and Public Attention in Healthcare AI. ACM FAccT 2027.
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Published in Coming soon, 1900
In Preparation
Recommended citation: El-Mufti, N., Drouin, S., Jannin, P., & Kersten-Oertel, M.* (in preparation). VIRTUES: A Design-Fiction Framework for Eliciting the Values of Sustainable, Responsible Surgical Innovation.
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Published in 1st EPIMI Workshop, MICCAI 2022, 1900
Peer-reviewed Ā· 1st EPIMI Workshop, MICCAI 2022
Recommended citation: Reyes, J., El-Mufti, N., Gorman, S., Xie, D., & Kersten-Oertel, M.* (2022). User-Centered Design for Surgical Innovations: A Ventriculostomy Case Study. EPIMI Workshop, MICCAI 2022.
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Published in , 1900
In Preparation Ā· npj Digital Medicine, Nature Portfolio
Recommended citation: El-Mufti, N., Ravanelli, M., & Kersten-Oertel, M.* (in preparation). From Speech Biomarkers to Clinical Practice: Participatory Foresight for Responsible AI Deployment in Parkinsonās Disease.
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Published in Joint FAIMI-BRIDGE-EPIMI Workshop, MICCAI 2026, 1900
Accepted Ā· Joint FAIMI-BRIDGE-EPIMI Workshop, MICCAI 2026
Recommended citation: El-Mufti, N., Drouin, S., Jannin, P., & Kersten-Oertel, M.* (2026). Futures Before Failures: Design Fictions for Anticipatory Fairness in Surgical AI. Joint FAIMI-BRIDGE-EPIMI Workshop, MICCAI 2026.
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Published in NeurIPS 2027 Evaluations & Datasets Track, 1900
In Preparation Ā· NeurIPS 2027 Evaluations & Datasets Track
Recommended citation: El-Mufti, N., Kersten-Oertel, M., & Ravanelli, M.* (in preparation). Celebs4PD: A Demographically Matched Corpus of Longitudinal, In-the-Wild Speech for Responsible Parkinsonās Detection.
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Published in , 1900
Submitted Ā· NPPāDigital Psychiatry and Neuroscience (DPN), Nature Portfolio
Recommended citation: El-Mufti, N., Mackinley, M., Dzialoszynski, P., Palaniyappan, L., & Voppel, A.* (under review). Automatic Speech Recognition Performance in Psychiatric Speech: Linguistic, Clinical, and Architectural Factors.
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