Project scaffold
Clinical AI in psychiatry
Public-facing theme focused on evaluation and practical use of AI systems for psychiatric reasoning, clinical workflows, and medically complex decision support.
Problem Space
Psychiatry presents difficult reasoning problems: nuanced longitudinal histories, overlapping symptom clusters, safety considerations, and a mix of narrative and structured data. AI systems in this setting need clinical depth, domain-specific evaluation, and careful attention to how they are used.
Approach
This project area centers on rigorous evaluation of language models and related AI tools in psychiatry and medicine, including expert-authored cases, prompt design, reasoning assessment, and workflow-oriented framing rather than novelty for its own sake.
Collaborators
This area is suitable for collaboration with clinical researchers, medical AI groups, digital health teams, and organizations working on evaluation or deployment of high-stakes models.
Next Steps
Future additions may include case studies, evaluation frameworks, short technical notes, and project-specific updates linked to clinical AI use in behavioral health.
Contact
Collaboration discussions in this area should focus on the clinical problem, the model or workflow being evaluated, and the practical setting in which the system would be used.