(1) Background: Approximately 1% of the global population is affected by schizophrenia, a
disorder marked by cognitive deficits, delusions, hallucinations, and language issues. It is …

Background In recent years, automated analyses using novel NLP methods have been used
to investigate language abnormalities in schizophrenia. In contrast, only a few studies used …

The co-occurrence of delusions and other symptoms at the onset of psychosis is a challenge
for theories about the aetiology of psychosis. This paper explores the relatedness of …

Identifying individuals at clinical high risk for psychosis (CHRsingle bondP) is crucial for
preventing psychosis and improving the prognosis for schizophrenia. Individuals at CHR-P …

Speech in psychosis has long been ascribed as involving 'loosening of associations'. We
pursued the aim to elucidate its underlying cognitive mechanisms by analysing picture …

Brain abnormality causes severe human problems, and thorough screening is necessary to
identify the disease. In clinics, bio-image-supported brain abnormality screening is …

Abstract Language impairments often appear in patients with schizophrenia and are
potential targets for rehabilitation. Clinical practice and research should be intimately …

Las listas de espera no cubiertas por el Plan de Garantías Explícitas en Salud para nueva
consulta de especialidad en Chile se han visto incrementadas por los efectos de la …

Modern natural language processing (NLP) methods provide ways to objectively quantify
language disturbances for potential use in diagnostic classification. We performed …

Large language models provide high-dimensional representations (embeddings) of word
meaning, which allow quantifying changes in the geometry of the semantic space in mental …