While diagnosing autism spectrum disorder (ASD) based on an objective test is desired, the
current diagnostic practice involves observation-based criteria. This study is a systematic …

The globally rising prevalence of mental disorders leads to shortfalls in timely diagnosis and
therapy to reduce patients' suffering. Facing such an urgent public health problem …

Using machine learning and deep learning methods to analyze text data from social media
can effectively explore hidden emotional tendencies and evaluate the psychological state of …

To relieve the growing burden of mental disorders, deep learning techniques have emerged
as a promising tool to aid clinicians by detecting abnormal patterns in neuroimaging data …

Existing source-free unsupervised domain adaptation (SFUDA) methods primarily focus on
addressing the domain gap issue for single-modal data, overlooking two crucial aspects: 1) …

Numerous brain illnesses are effectively diagnosed using artificial intelligence (AI). The
diagnosis of mental health issues holds significant promise for AI technologies. This study …