Summary
The global mental health crisis leaves over two-thirds of affected individuals untreated. AI technologies are emerging as transformative tools in addressing this issue. At Cincinnati Children’s Hospital, AI analyzes linguistic patterns to identify suicidality with 90% accuracy and detect anxiety months earlier than traditional methods. Dr. Frederike Petzschner of Brown University highlights AI’s potential to provide personalized care and enhance treatment predictions. Advanced platforms like Woebot and Happify deliver AI-driven cognitive therapy and mindfulness exercises. However, challenges persist in building robust datasets, as psychiatry lacks clear diagnostic biomarkers, limiting AI’s ability to fully integrate into mental health care solutions.