Multi-modal deep learning model for bipolar depression adolescents with verbal auditory hallucinations (opens in new tab)

ObjectiveTo develop a multimodal deep learning–based classification model for adolescent bipolar depression (ABD) with verbal auditory hallucinations (AVHs).MethodsA retrospective analysis was conducted on 47 untreated ABD patients within 30 days, between January 2024 and August 2025. Comprehensive clinical data were collected, including sex, age, age at onset, years of education, and the presence of suicidal or self-harming behaviors. Based on the PANSS P3 score and the presence of AVHs, pat...