Possibilities of Analyzing the Speech of Patients with Mental Disorders Using Mathematical Methods and Artificial Intelligence Algorithms
Thinking is a fundamental cognitive process assessed in psychiatric practice through speech and non-verbal signals. While speech is the primary basis for evaluating thought, thinking can occur independently of speech. Disorganized thinking, particularly associated with schizophrenia, involves weakened associations and cognitive disruptions that impact neural networks. Modern definitions of disorganized thinking, rooted in the three-factor model of psychotic disorders, highlight formal disturbances in thought, speech, and behavior. This conceptualization has been substantiated through neuroimaging studies, revealing structural connectivity issues in brain regions responsible for social-emotional processing. Despite its potential, artificial intelligence (AI) has yet to be fully integrated into psychiatric diagnostics, though its success in other medical fields suggests promising applications. AI could enhance psychiatric assessments by analyzing speech, facial expressions, and behavior, offering new diagnostic tools.
Authors
- М. А. Барулина (ORCID: https://orcid.org/0000-0003-3867-648X)
- A. I. Rakhmatullin
- R. F. Nasyrova
- N. V. Zakharova
- D. M. Ivashinenko
- M. A. Dvoryankina
Institutions
- Tula State University (RU)
- Moscow Power Engineering Institute (RU)
- Solikamsk State Pedagogical Institute (RU)
- Tula Regional Clinical Hospital (RU)
Publication Details
- Journal
- Personalized Psychiatry and Neurology
- Published
- 2024-12-18
- DOI
- https://doi.org/10.52667/2712-9179-2024-4-4-2-10
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00