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Artificial Intelligence in Psychiatric Graduate Medical Education
Manal Khan1, Juliet Edgcomb1, Jonathan Heldt1
1David Geffen School of Medicine at University of California Los Angeles (UCLA) and UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA.
Summary
Artificial intelligence (AI) offers opportunities to enhance psychiatry graduate medical education (GME) by reducing administrative tasks and personalizing training. However, careful implementation is crucial to mitigate risks and preserve the core relational aspects of psychiatric care.
Area of Science:
- Medical Education
- Artificial Intelligence
- Psychiatry
Background:
- Psychiatry GME faces challenges from increased clinical demand, administrative burdens, and burnout.
- Artificial intelligence (AI), especially large language models (LLMs), presents potential solutions for educational capacity and personalized training.
- The unique relational and narrative nature of psychiatry poses challenges for responsible AI integration.