Murali Doraiswamy, MBBS
Professor of Psychiatry and Behavioral Sciences
Duke School of Medicine
AI and the Future of Psychiatry
Artificial intelligence; Machine learning; Psychiatry; Ethical adoption of technologies; Mental health; Wearables; Mobile health
- There is growing evidence from randomized controlled trials of the efficacy of using digital tools in mental health diagnosis and treatment.
- Could artificial intelligence (AI) and machine learning technologies be used to:
- Reduce the stigma associated with mental health treatment?
- Predict the risk for future suicide?
- Detect Alzheimer’s years before diagnosis?
- Categories of AI applications include low-risk apps that measure but do not diagnose, and apps used in diagnosis or treatment that must meet the same high standards of evidence as medications.
- Clinicians still struggle with how to integrate patient data from wearable devices. AI technology might help if it could be used to synthesize the data into a risk profile for an individual.
What are the roles of stress, exercise, and sleep in mental health, and can autonomic data from wearables help explain the variance in mental health symptoms?
To develop evidence thresholds for AI, we need larger scale public-private partnerships as well as pragmatic trials addressing key clinical questions.
Read more from Dr. Doraiswamy in How to Use Technology Ethically to Increase Access to Mental Healthcare.
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