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arXiv · 2509.15990

DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis

Jérémie Stym-Popper·Nathan Painchaud·Clément Rambour·Pierre-Yves Courand·Nicolas Thome·Olivier Bernard
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Abstract

Multimodal data fusion is a key approach for enhancing diagnosis in medical applications. We propose an asymmetric fusion strategy starting from a primary modality and integrating secondary modalities by disentangling shared and modality-specific information. Validated on a dataset of 239 patients with echocardiographic time series and tabular records, our model outperforms existing methods, achieving an AUC over 90%. This improvement marks a crucial benchmark for clinical use.

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Jérémie Stym-Popper, Nathan Painchaud, Clément Rambour, Pierre-Yves Courand, Nicolas Thome, Olivier Bernard. 2025-09-19. DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis. https://arxiv.org/abs/2509.15990

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