RA-QA: Towards Respiratory Audio-based Health Question Answering

Ali Nemati5 days ago23 sec read14 views

Researchers have created RA-QA, a new dataset for Respiratory Audio Question Answering, aiming to bridge the gap between clinical audio data and natural language interaction. This resource, containing 7.5 million QA pairs, enables the development of more interactive diagnostic tools in respiratory healthcare, crucial for early disease detection and management.

Read the full article at arXiv cs.LG (ML)

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