Christoph Eschenfelder, Head of the Boehringer Digital Research Project, explains the context: "For example, previous studies have shown how the spoken language changes in patients with schizophrenia or Alzheimer's dementia." Many remarkable features are evident especially in advanced stages of the disease. recognizable. The algorithms should allow the early detection of these diseases.
"We have now started clinical trials to study the use of artificial intelligence for the analysis of speech in the diagnosis of diseases such as Alzheimer's disease and schizophrenia", Eschenfelder continues. The speech recognition software can read between lines and use algorithms to identify patterns and relationships typical of diseases. After analysis, the speech signals of the graphical representation are converted so that the sentence structure, meaning, intonation and rhythm can be displayed with color graphics. Through artificial intelligence and machine learning, the system learns to recognize and classify models.
Previous studies of schizophrenic patients have already shown that the emphasis has changed and the complexity of the language has decreased. These can be early signs of the disease. Similarly, many Alzheimer's patients present language changes: recordings of interviews conducted by psychologists with study participants rely on a specific question system and provide raw data for the patient. 39, digital voice analysis.