Artificial intelligence (AI) holds transformative potential for the care of people with mental health illnesses. This Review explores key domains and emerging applications of AI in mental health, emphasizing the challenges that must be addressed to ensure safe, effective, and sustainable clinical integration. Distinctive features of mental health care—such as the lack of objective biomarkers, the reliance on behavioral and emotional assessments, the legacy of stigma, and the importance of privacy—present fundamental challenges to overcome. We argue that the clinical translation of AI tools should be approached through the lens of an individual patient’s journey from the onset of symptoms through diagnosis, treatment, recovery, and emotional well-being.
Opel et al. (2026) studied this question.