Friday, July 19, 2024

How AI Language Models helps to Decode Schizophrenia

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In a new study, scientists from the UCL Institute for Neurology have utilized the power of AI language models to understand the complexities of schizophrenia. Schizophrenia, affecting millions worldwide, is a chronic brain disorder. When schizophrenia is active, symptoms can include delusions, hallucinations, disorganized speech, trouble with thinking and lack of motivation.

The research, featuring in PNAS, aims to understand and analyze speech pattern in patients using AI model like ChatGPT. The research included 26 participants with schizophrenia and 26 control participants to complete two verbal fluency tasks. Participants were tasked with word recall challenges, revealing interesting differences. Control group responses were more predictable to AI models compared to those with schizophrenia.

AI Language Models

This study marks a significant step in mental health research. By unifying advanced AI and brain scanning technology, scientists are uncovering how our brain constructs meaning. The potential of AI in psychiatry is big and promising step into mental health disorders.

Research Prove

Dr. Matthew Nour – the lead research author – expressed excitement about the study’s implications. “We are entering a very exciting time in neuroscience and mental health research.” He said “By combining state-of-the-art AI language models and brain scanning technology, we are beginning to uncover how meaning is constructed in the brain, and how this might go awry in psychiatric disorders. There is enormous interest in using AI language models in medicine. If these tools prove safe and robust, I expect they will begin to be deployed in the clinic within the next decade.”

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