Evaluating Generative Pretrained Transformer (GPT) models for suicide risk assessment in synthetic patient journal entries

Evaluating Generative Pretrained Transformer (GPT) models for suicide risk assessment in synthetic patient journal entries

Abstract Over 700,000 individuals die by suicide globally each year, with rapid progression from suicidal ideation (SI) to attempt often precluding opportunities for intervention. Digital behavioral health (DBH) platforms offer novel means of collecting SI indicators outside the clinic, but the acti...

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Bibliographic Details
Main Authors: Dan Holley, Brian Daly, Briana Beverly, Blaken Wamsley, Amanda Brooks, Tom Zaubler
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Psychiatry
Subjects:
Suicide prevention
Digital health
MHealth
Artificial intelligence
Large language models
Online Access:https://doi.org/10.1186/s12888-025-07088-5
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https://doi.org/10.1186/s12888-025-07088-5

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