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A. Arias

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Open access Oct 2026

Generative Large Language Models for Psychiatric Concept Detection in Spanish-Language Electronic Health Records: Development and Evaluation Study.

BACKGROUND The accurate detection of clinical symptoms in electronic health records (EHRs) is pivotal for advancing large-scale genetic and longitudinal studies in psychiatry. Free-text clinical notes are an essential source of symptom-level information, particularly in psychiatry; however, the automated extraction of...

C. Frydman-Gani, A. Arias, M. Perez Vallejo et al. · 0 citations
Open access Sep 2026

A founder population reveals genetic variation with major effect on serious mental illness

Genetic studies of serious mental illness (SMI, including schizophrenia and bipolar disorder) have implicated two classes of risk variant: common variants1-3, each of small effect but collectively accounting for most population-level risk, and ultra-rare coding variants4,5 which confer large risk in a small number of i...

Greta Gerdes, V. Tozzo, S. Service et al. · 0 citations
Open access Aug 2026

Large-Scale Psychiatric Concept Extraction from Electronic Health Records: A Comparative Study of Encoder-Based Language Models

General-purpose pre-trained encoders had strong performance for psychiatric concept extraction from Spanish EHRs, and the utility of these relatively lightweight models for scalable, accurate and reproducible detection of psychiatric concepts in Spanish-language EHRs is highlighted.

X. Xue, C. Frydman-Gani, A. Arias et al. · 1 citation

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