Exploring the Use of Natural Language Processing for Objective Assessment of Disorganized Speech in Schizophrenia.

These preliminary findings suggest that NLP may be useful in identifying clinically relevant language markers of schizophrenia, which can enhance objectivity in symptom monitoring during hospitalization. Further work is needed to replicate these findings in a larger data set and explore methods for feasible implementation in practice.