Computational psychiatry

The psychiatry clinic is the area of ​​medicine with fewer objective analysis procedures outside of standardized questionnaires, because of this, it depends extremely on the experience of the doctor. This condition generates a wide difference over the convergence in the diagnosis according to the experience of the professional. At the other extreme, other clinical areas (for example: cardiology or traumatology) have procedures that offer the physician objective tools to support diagnosis and treatment decisions (for example: x-ray study, complete blood count, etc.). While this difference lies in the complexity of interacting with the mind, psychiatry uses therapies and treatments as pragmatic as any other area of ​​medicine through the use of drugs.

Taking into account that the early diagnosis of any pathology, and in particular, the psychiatric one directly impacts on the success of the treatment, the problem can (and has begun) to be approached from new angles. The lack of more objective methods should no longer be justifiable.

That is why our line of research is based on the development of artificial intelligence (AI) algorithms for assistance in psychiatric diagnosis based on the automatic analysis of patient discourse and the reporting of standardized values ​​of different measures of language, such as for example: level of coherence of speech, fluency of ideas, grammatical dysfunctions, etc.