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Mpy14-012

Evaluating Large Language Models for Assessment of Psychosis Risk

Quote: Errors primarily reflected overpathologisation of non-clinical experiences. While accuracy scaled with model size, smaller models achieved competitive performance with substantially lower computational cost. These findings demonstrate that open-weight LLMs have the potential to assess psychosis risk from psychometric interview transcripts, supporting scalable, human-in-the-loop approaches to early detection.
Abstract: https://www.medrxiv.org/content/10.64898/2026.04.02.26349960v1
Full Text: https://www.medrxiv.org/content/10.64898/2026.04.02.26349960v1.full-text
Search Similar: Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho 
Search Authors: Taiyu Zhu Alexander Tashevski Maxime Taquet Matilda Azis Tia Jani Matthew R Broome Thomas Kabir Amedeo Minichino Graham K Murray Matthew M Nour Ilina Singh Paolo Fusar-Poli Alejo Nevado-Holgado Philip McGuire Dominic Oliver, 

  Javilk's Research Links for Week 14
Updated 04/11/2026-01:28:16 AM
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