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Hierarchical attention interpretation: an interpretable speech-level transformer for bi-modal depression detection
These interpretations allow clinicians to verify the validity of predictions made by depression detection tools, promoting their clinical implementations.
Artificial Intelligence, speech and language processing approaches to monitoring Alzheimer's Disease: a systematic review
We concluded that the main limitations of the field are poor standardisation, limited comparability of results, and a degree of disconnect between study aims and clinical applications.
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