从单模态到多模态：使用语言、声学和视觉线索进行人工智能驱动的心理健康评估

Mental health disorders, including depression, anxiety, bipolar disorder, and schizophrenia, represent a significant global health challenge due to their high prevalence and complex diagnostic requirements. Traditional assessment methods primarily rely on clinical interviews and self-reported questionnaires, which are often subjective, time-consuming, and unsuitable for continuous or large-scale monitoring. In recent years, advances in artificial intelligence (AI) have enabled the development of multimodal mental health assessment systems that integrate diverse behavioral and physiological sig