Papers by Shakhrul Iman Siam
RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification (2026.acl-long)
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| Challenge: | Existing models for respiratory diseases rely on audio inputs, but they lack generalizability and diagnostic precision. |
| Approach: | They propose a multimodal foundation model that integrates respiratory sounds with medical history and symptoms to enhance diagnostic accuracy and disease detection capabilities. |
| Outcome: | The proposed model improves AUROC and zero-shot tasks across five respiratory diseases using real-world datasets. |