AI tool nears psychiatrist-level accuracy
Researchers at UTHealth Houston and Yale developed an AI system that evaluates video recordings of patients' speech, tone, and behavior, achieving overall diagnostic accuracy comparable to teams of psychiatrists across cases of schizophrenia, bipolar disorder, and obsessive-compulsive disorder. Although the tool delivered consistent overall diagnoses, it exhibited weaknesses in specific observational criteria and complex clinical reasoning compared to experienced practitioners. These findings highlight the model's potential not as a replacement for clinicians, but as an educational aid and diagnostic supplement for early-career or non-specialist healthcare providers.
Read the original at medicalxpress.com Generate teaching or study materials
More in Medicine
- AI can be more comforting than a person—our research shows whyPhys.org — Social Sciences · September 17, 2026
- Why do some robots feel creepy? We deliberately built one to find outThe Conversation — AI · September 17, 2026
- ChatGPT Health: Solution or Experiment?Psychology Today · September 17, 2026
- Robotic help in high-risk twin pregnancies: Panoramic guidance for a flexible laser scopeMedical Xpress · September 17, 2026
- Decades of male-focused medical research could bias healthcare AIThe Conversation — AI · September 17, 2026