作者位次 #3/5ACL 2026Poster· Natural Language Processing
R espira MFM : A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification
Shakhrul Iman Siam · Tiantian Feng · Jiankun Zhang · Shrikanth Narayanan · Mi Zhang
摘要
Respiratory diseases remain a leading cause of global mortality, where timely and accurate diagnosis is critical to improving patient outcomes and reducing healthcare burdens. While prior work has explored audio-based models for respiratory disease detection, such unimodal approaches often suffer...