Communication Dans Un Congrès Année : 2025

Automatically generated cardiovascular digital twin in critical care: a proof of concept study

Résumé

This proof of concept study demonstrates the capabilities of a virtually automatically generated digital twin framework for enhancing hemodynamic monitoring in critical care. By combining a deterministic cardiovascular model with patient-specific data through data assimilation techniques, the digital twin can act as a data denoiser, reconstruct physiological waveforms that are typically unavailable in critical care settings and generate clinically relevant biomarkers. Validation was performed using real data from patients under general anesthesia. The proposed framework efficient calibration and ability to follow the patient's state over time supports the possibility of real-time bedside applications.

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Dates et versions

hal-05022663 , version 1 (07-04-2025)

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François Kimmig, Arthur Le Gall, Camille Windsor, Fabrice Vallée, Dominique Chapelle, et al.. Automatically generated cardiovascular digital twin in critical care: a proof of concept study. FIMH 2025 - 13th International Conference on Functional Imaging and Modeling of the Heart, Jun 2025, Dallas (Texas), United States. ⟨10.1007/978-3-031-94562-5_35⟩. ⟨hal-05022663⟩
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