Increasingly, data-driven methods have been implemented to understand psychopathology.
Language is the main source of information in psychiatry and represents “big data” at the …

Introduction Alterations of verbalized thought occur frequently in psychotic disorders. We
characterize linguistic findings in individuals with schizophrenia based on the current …

Automated extraction of quantitative linguistic features has the potential to predict objectively
the onset and progression of psychosis. These linguistic variables are often considered to …

Computerized natural language processing (NLP) allows for objective and sensitive
detection of speech disturbance, a hallmark of schizophrenia spectrum disorders (SSD). We …

The language and speech of individuals with psychosis reflect their impairments in cognition
and motor processes. These language disturbances can be used to identify individuals with …

Mental disorders are highly prevalent worldwide and significantly impact the quality of life of
patients and their families. Artificial intelligence (AI) can potentially revolutionize psychiatry …

Language disturbances are a key feature of schizophrenia. Although in its early stages, the
emerging field of research focused on computational linguistics suggests an important role …

Background Clinicians routinely use impressions of speech as an element of mental status
examination. In schizophrenia-spectrum disorders, descriptions of speech are used to …

Recent work has suggested that disorganised speech might be a powerful predictor of later
psychotic illness in clinical high risk subjects. To that end, several automated measures to …

Language and speech are the primary source of data for psychiatrists to diagnose and treat
mental disorders. In psychosis, the very structure of language can be disturbed, including …