Article

Evaluating Large Language Models for Assessment of Psychosis Risk

2026-04-04

Abstract excerpt

Psychosis prevention relies on early detection of individuals at clinical high risk for psychosis (CHR-P). The effectiveness of the CHR-P state is constrained, in part due to clinical assessments requiring specialist interpretation of narrative interviews, limiting scalability. Here, we evaluate whether large language models (LLMs; deep learning models trained on large text corpora to process and generate language...

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Literature Corpus work: e15a05b7-bb3f-53c0-ac3e-ab4385ea57d4
DOI: 10.64898/2026.04.02.26349960

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