AI language models could help diagnose schizophrenia

AI speaks letters, text-to-speech or TTS, text-to-voice, speech synthesis applic
AI speaks letters, text-to-speech or TTS, text-to-voice, speech synthesis applications, generative Artificial Intelligence, futuristic technology in language and communication.
AI speaks letters, text-to-speech or TTS, text-to-voice, speech synthesis applications, generative Artificial Intelligence, futuristic technology in language and communication. Scientists at the UCL Queen Square Institute for Neurology have developed new tools, based on AI language models, that can characterise subtle signatures in the speech of patients diagnosed with schizophrenia. The research, published 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. The researchers asked 26 participants with schizophrenia and 26 control participants to complete two verbal fluency tasks, where they were asked to name as many words as they could either belonging to the category "animals" or starting with the letter "p", in five minutes. To analyse the answers given by participants, the team used an AI language model that had been trained on vast amounts of internet text to represent the meaning of words in a similar way to humans.
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