AI-Modeled Language Signatures Could Help Diagnose Schizophrenia

Scientists at the UCL (University College London) Queen Square Institute for Neurology have developed new tools, based on AI language models, that can characterize subtle signatures in the speech of patients diagnosed with schizophrenia. The research, published on October 9, 2023 in PNAS, aims to understand how the automated analysis of language could help doctors and scientists diagnose and assess psychiatric conditions. Currently, psychiatric diagnosis is based almost entirely on talking with patients and those close to them, with only a minimal role for tests such as blood tests and brain scans. However, this lack of precision prevents a richer understanding of the causes of mental illness, and the monitoring of treatment.
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