clickBrick prompt engineering: optimizing large language model performance in clinical psychiatry

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Public source attached

Source status for this paper in the current AISci reviewed snapshot.

Primary source

npj Mental Health Research

Correction status

none

Evidence coverage

1 sources / 1 publishers

Last metadata check

Jul 19, 2026

AI Reading Notes

Core signal

Structured notes generated from source-linked AISci metadata. Treat them as a reading aid, not a substitute for the paper.

Core signal

clickBrick prompt engineering: optimizing large language model performance in clinical psychiatry

Field context

Foundation Models and Agents

People and labs

Not stated in the reviewed source.

Why it matters

Recent source-backed research output for AISci Stage A browsing.

Limits to check

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Research Workflow

Research Workflow

Recommended next steps for turning this signal into research action.

1. Read original source
2. Check DOI/OpenAlex
3. Open relationship graph
4. Review people and labs: Not stated in the reviewed source.
5. Open linked event for AISci context
6. Prepare journal-club PPT: AISci action coming next
7. Plan replication checks: AISci action coming next