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WIMC 2025
Multi-Modal AI for Predicting Echocardiographic Parameters: Transforming Cardiac Assessment with ECG and Vital Signs
A multimodal prediction talk on estimating echocardiographic parameters from ECG and vital-sign signals.
- 2025
- Warsaw, Poland
- Conference presentation
Session details
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- WIMC
- No public assets
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Summary
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This presentation explored whether ECG and vital-sign data can support prediction of echocardiographic parameters. The work framed multimodal AI as a way to scale cardiac assessment while staying anchored to measurements clinicians already use.
Pushes multimodal prediction toward clinically useful measurement support rather than isolated classification tasks.
Session context
- WIMC 2025
- 2025
- Warsaw, Poland
- Conference presentation
Outcome
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Takeaway
Pushes multimodal prediction toward clinically useful measurement support rather than isolated classification tasks.
Topic map
cardiologymultimodal AIECGechocardiography
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