Migrant women diagnosed with schizophrenia face a range of challenges, including cultural dislocation, language barriers, limited healthcare access, and social stigma. These challenges often lead to delayed diagnoses, poor treatment adherence, and worsened mental health outcomes. Recent advancements in artificial intelligence (AI) offer significant promise in providing mental health support tailored to the needs of these marginalized groups. This qualitative inquiry synthesizes literature on AI-driven mental health interventions for migrant women with schizophrenia, focusing on technologies such as AI-based chatbots, symptom tracking, mood prediction algorithms, and wearable diagnostics. The review emphasizes studies published between 2010 and 2025, prioritizing those incorporating cultural and gender-sensitive designs. Although AI technologies hold promises for improving access to care and reducing cost barriers, current models often fail to account for the unique symptom profiles of women and the psychosocial complexities of migration. Ethical concerns, including algorithmic bias, data privacy, and informed consent, continue to pose significant challenges. This paper emphasizes the crucial importance of inclusive AI development practices that prioritize the needs of marginalized populations and adhere to human-centered design principles. While AI offers substantial potential for enhancing the mental health of migrant women with schizophrenia, its deployment must be guided by ethical, cultural, and clinical considerations.
Deep et al. (Mon,) studied this question.