An explainable multimodal artificial intelligence model for classifying suicide attempters with borderline personality disorder: a pilot study.

ABSTRACT: Borderline Personality Disorder (BPD) is a severe mental disorder marked by emotional dysregulation. Estimates show that 73% of patients with BPD will have, on average, three suicide attempts in their lifetime, with up to 10% of cases resulting in death. Reliable tools to identify risk factors associated with suicide are lacking. Artificial Intelligence (AI) could fill this gap, supporting the development of effective intervention strategies. This pilot study provides preliminary evidence that a multimodal signature could differentiate suicide attempts in individuals with BPD, paving the way to prospective cohort validation and clinical applications. We developed DRAMA-BPD (Detecting Retrospective suicide Attempts with Machine learning Approaches in Borderline Personality Disorder), an exp

SUBMITTER: Crema C 

PROVIDER: S-EPMC12804717 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature