AI and Tech Show Promise for Improving Mental Health Care, But Barriers Remain
-
Motion sensors can track anxious behaviors to help individuals and clinicians better manage mental health. AI analyzes video recordings to detect nonverbal cues and provide therapists extra data.
-
AI linguistic models like BioBERT score therapist efficacy and skills to improve training and maintain quality of care.
-
Virtual reality (VR) simulates real environments to elicit responses for exposure therapy for phobias, addiction, eating disorders.
-
Considerations remain around clinician access, training, ethics of using AI for mental health care.
-
Cost is also a barrier with thousands required to purchase VR software and associated training.