Artificial intelligence‐driven closed‐loop devices in sudden unexpected death in epilepsy prediction and prevention: Insights from persons with epilepsy and caregivers

This study highlights the potential of AI-CLDs in improving the prediction and prevention of SUDEP, showing promise for enhancing patient safety through real-time monitoring and interventions. The findings underscore the importance of user-centered design in device development, emphasizing comfort, control over interventions, and integration into daily life. This research provides insights useful for future development aiming to improve PWE and CG confidence in using AI technologies for epilepsy care and risk management.

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Publication Details

Journal
Epilepsia
Published
2025-09-23
DOI
https://doi.org/10.1111/epi.18647
Citations
1
Primary Topic
Epilepsy research and treatment
Type
article
Field-Weighted Citation Impact
1.47

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article

Artificial intelligence‐driven closed‐loop devices in sudden unexpected death in epilepsy prediction and prevention: Insights from persons with epilepsy and caregivers

João Claro, Joao Borges Ferreira, Philippe Ryvlin, Ricardo Peixoto et al.
1 citations
Epilepsia
Epilepsy research and treatment
1.47
article

Artificial intelligence‐driven closed‐loop devices in sudden unexpected death in epilepsy prediction and prevention: Insights from persons with epilepsy and caregivers

João Claro, Joao Borges Ferreira, Philippe Ryvlin, Ricardo Peixoto, Sándor Beniczky, Emilio Perucca, Fabrice Duprat, Massimo Mantegazza, Tykeia Robinson, Ricardo Matias, Carlos Conde, José Ángel Aibar, Lígia Lopes, Onur Parlak, Miguel França, Mariana Cardoso Regalo
article en
1 citations

Abstract

This study highlights the potential of AI-CLDs in improving the prediction and prevention of SUDEP, showing promise for enhancing patient safety through real-time monitoring and interventions. The findings underscore the importance of user-centered design in device development, emphasizing comfort, control over interventions, and integration into daily life. This research provides insights useful for future development aiming to improve PWE and CG confidence in using AI technologies for epilepsy care and risk management.

EpilepsiaVol. 67(1)
Karolinska University Hospital (SE), The University of Melbourne (AU), Universidade do Porto (PT), Aarhus University (DK), Aarhus University Hospital (DK), Karolinska Institutet (SE), Epilepsy Research UK (GB), Institute of Biophysics and Biomedical Engineering (BG), Sparks (GB), i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto (PT), Institut de Pharmacologie Moléculaire et Cellulaire (FR), Austin Health (AU), INESC TEC (PT), Monash University (AU), University of Lausanne (CH)
Dravet Syndrome Foundation, Fundação para a Ciência e a Tecnologia, HORIZON EUROPE European Innovation Council
Openalex Percentile: Top 15%
Epilepsy research and treatment
1.47
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