# Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution

Source: [Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution](<https://www.sota2.com/research/paper/69f4338755a3c32af89fd0ba>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-05-02T05:00:04.163Z

Authors: Karol Dobiczek, Maciej Mozolewski, Szymon Bobek, Micha{\\l} Szafarczyk, Peter van Dam, Grzegorz J. Nalepa

Published: 2026-04-29T12:21:43.000Z

## Abstract

Deep learning models for 12-lead electrocardiogram (ECG) analysis achieve high diagnostic performance but lack the intuitive interpretability required for clinical integration. Standard feature attribution methods are limited by the inherent difficulty in mapping abstract waveform fluctuations to physical anatomical pathologies. To resolve this, we propose a cross-modal method that projects feature attributions from high-performance 12-lead ECG models onto the CineECG 3D anatomical space. Our study reveals that while models trained directly on CineECG signals suffer from reduced accuracy and incoherent attributions, the proposed mapping mechanism effectively recovers clinically relevant feature rankings. Validated against a ground-truth dataset of 20 cases annotated by domain experts, the mapped explanations yield a Dice score of 0.56, significantly outperforming the 0.47 baseline of standard 12-lead attributions. These findings indicate that cross-modal averaging mapping effectively filters attribution instability and improves the localization of pathological features, combining the diagnostic expressiveness of standard ECG with the intuitive clarity of anatomical visualization.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Explanation Alignment on PTB-XL subset](<https://www.sota2.com/research/sota/explanation-alignment-on-ptb-xl-subset.md>): Explanation Alignment; PTB-XL subset; Dice Score: 0.56.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2604.27017>)

[PDF](<https://arxiv.org/pdf/2604.27017.pdf>)