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Generative artificial intelligence in posttraumatic stress disorder treatment: Exploring five different use cases.
Philip Held1, Elizabeth C Stade2, Katherine Dondanville3
1Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, Illinois, USA.
Generative artificial intelligence (AI) offers new ways to improve access to posttraumatic stress disorder (PTSD) treatment through AI-assisted tools. However, ethical considerations and clinical oversight are crucial for safe and effective AI integration in PTSD care.
Area of Science:
- Clinical Psychology
- Artificial Intelligence in Healthcare
- Mental Health Technology
Background:
- Posttraumatic stress disorder (PTSD) is a widespread and disabling mental health condition.
- Significant barriers limit patient access to evidence-based PTSD treatments.
- Generative artificial intelligence (AI), including large language models (LLMs), presents opportunities to enhance mental healthcare accessibility and quality.
Purpose of the Study:
- To explore emerging use cases of clinical AI tools for posttraumatic stress disorder (PTSD) treatment.
- To highlight the potential of AI in improving access and consistency of evidence-based PTSD interventions.
- To identify ethical and safety challenges associated with AI implementation in PTSD care.
Main Methods:
- Review of five emerging clinical AI use cases for PTSD treatment.
- Discussion of AI-assisted training tools for clinicians.
- Examination of AI-driven automated fidelity rating systems for treatment adherence.
- Analysis of AI-assisted therapy tools for patient care.
- Consideration of ethical and safety implications presented at a professional symposium.
Main Results:
- Five distinct use cases for AI in PTSD treatment were identified, including training, fidelity assessment, and direct therapy.
- AI tools show promise in expanding the reach and standardization of evidence-based PTSD interventions.
- Significant ethical and safety concerns were raised, such as potential bias, privacy risks, and the need for clinical oversight.
Conclusions:
- AI-based innovations hold considerable potential for improving PTSD treatment accessibility and effectiveness.
- Addressing ethical challenges, including bias and privacy, is paramount for responsible AI deployment.
- Multidisciplinary collaboration between clinicians, researchers, and developers is essential for patient-centered, ethical, and effective AI tools in PTSD care.
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